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Journal articles on the topic 'Logistics Regression'

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1

Qiu, Qixuan. "Based on Bayesian Regression and Logistic Regression Model Forecast Logistics Transportation Delay." Applied and Computational Engineering 135, no. 1 (2025): 175–83. https://doi.org/10.54254/2755-2721/2025.21217.

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In the logistics supply chain transportation, it is inevitable to encounter some unpredictable risks, these risks will greatly affect the accuracy and timeliness of logistics transportation, in order to explore the problem of logistics transport delays, this article uses Bayesian regression and logistic regression to establish a model, by analyzing the relationship between the journey risk and the logistics transport delays, Bayesian regression through Mean Squared Error(MSE) and R carry out a test, logistic regression through Accuracy, Receiver Operating Characteristic Curve (ROC Curve) and P
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Li, Biwei. "Factors Affecting the Punctuality of Logistics Services Using Binary Logistic Regression." BCP Business & Management 34 (December 14, 2022): 704–12. http://dx.doi.org/10.54691/bcpbm.v34i.3085.

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The Indian logistics industry is in a period of rapid development. The purpose of this study is to analyze the factors affecting the punctuality of trucks for logistics distribution services in India based on data analysis. The data comes from 6880 pieces of data from the VTS data platform. A binary regression model was established for data analysis, and the model was tested to ensure statistical significance. Binary logistic regression was used to examine truck types, geographic locations, commodity types, order types, and suppliers for logistics services to examine significant differences be
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Iman, Youssif Ibrahim, and Sedqi Kareem Omar. "Email Spam Classification Based on Logistics Regression." Engineering and Technology Journal 10, no. 05 (2025): 4847–54. https://doi.org/10.5281/zenodo.15378605.

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Email is a common communication tool used by both individuals and organizations. It involves a variety of interactions, including file sharing. In addition to the advantages it provides, there is the uninvited email sharing. This unsolicited email is referred to as "spam." Malicious content like viruses, phishing scams, and unsolicited ads can be found in spam. It is well known that communication security is crucial. In order to filter email systems for malicious tools or software, it is essential to classify them based on a variety of criteria. In these kinds of classification studies, machin
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Hussein, Dima Talaso, and Felister Mutoka. "Factors Affecting Logistics Performance Metrics in Logistics Industry: Case of Kuehne+Nagel Logistics Company." Journal of Procurement & Supply Chain 1, no. 1 (2021): 1–15. http://dx.doi.org/10.70619/vol1iss1pp1-15.

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The purpose of this study was to determine the role of logistics metrics on logistics performance measurement in the Kenyan logistics industry; a case study of Kuehne Nagel logistic company. The specific objectives were to determine the role of logistics cost, logistics quality, logistics productivity, and logistics cycle-time on logistics performance measurement in Kuehne Nagel logistic company. The study was anchored on the SCOR model, resource-based view, theory of constraints and transactions theory. The study adopted a descriptive research design. The study target population was 72 manage
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El Yadari, Manal, Fouad Jawab, Imane Moufad, and Jabir Arif. "Logistics Sprawl and Urban Congestion Dynamics Toward Sustainability: A Logistic Regression and Random-Forest-Based Model." Sustainability 17, no. 13 (2025): 5929. https://doi.org/10.3390/su17135929.

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Increasing road congestion is the main constraint that may influence the economic development of cities and urban freight transport efficiency because it generates additional costs related to delay, influences social life, increases environmental emissions, and decreases service quality. This may result from several factors, including an increase in logistics activities in the urban core. Therefore, this paper aims to define the relationship between the logistics sprawl phenomenon and congestion level. In this sense, we explored the literature to summarize the phenomenon of logistics sprawl in
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özcan, Sezgin. "A Study on Casualty Profile Using Logistics Regression." Journal of Military and Information Science 2, no. 1 (2014): 3. http://dx.doi.org/10.17858/jmisci.25688.

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Eljaji, Halah, and Remudin Reshid Mekuria. "MATHEMATICAL MODELS AND ALGORITHMS IN LOGISTICS: REAL- WORLD APPLICATIONS AND AI IMPACT." Alatoo Academic Studies 24, no. 2 (2024): 412–21. http://dx.doi.org/10.17015/aas.2024.242.33.

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Have you ever pondered the importance of mathematics in the field of logistics? Have you also reflected on whether a solid understanding of mathematical principles is crucial for achieving success in a logistics profession? This article explores the intersection of mathematics and logistics, shedding light on the indispensable role mathematics plays within the industry. By exploring practical applications, it provides insights into the mathematical concepts integral to the daily activities of logistics professionals. Whether aspiring to enter the field or carrying out further studies in logist
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Basalim, Said, Danang Parikesit, Sigit Priyanto, and Muhammad Zudhy Irawan. "Shipment Size Analysis on Cross-Border Freight Transportation Using Stereotype Logistic Regression: Case Study Between West Kalimantan, Indonesia and Sarawak, Malaysia." International Journal on Advanced Science, Engineering and Information Technology 15, no. 1 (2025): 180–88. https://doi.org/10.18517/ijaseit.15.1.19357.

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Cross-border freight transport is vital for regional logistics, facilitating trade between neighboring countries. However, inefficiencies in shipment size decisions, such as overloading or underutilizing vehicles, can lead to increased costs and logistical challenges. This study investigates the key factors influencing shipment size decisions in the West Kalimantan (Indonesia)–Sarawak (Malaysia) cross-border corridor. Data from 2,017 truck trips conducted between 2016 and 2018, provided by the Fish Quarantine and Inspection Agency, was used for the analysis. Ordinal logistic regression methods
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9

Zhao, Shuya. "Research on Logistics Cost Prediction Based on Random Forest Regression Modeling." Transactions on Economics, Business and Management Research 11 (November 5, 2024): 367–76. https://doi.org/10.62051/mv8p5485.

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With the rapid development of globalization and e-commerce, logistics industry has become a key link between production and consumption. However, the efficient management and control of logistics costs has become an important challenge for enterprises to enhance their competitiveness. The scientific control of logistics cost depends on accurate cost prediction. In this paper, we first process the missing values of open source logistics cost data, and analyze the logistics cost and numerical influencing factors as skewed distribution with the help of distribution probability density plot and hi
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D. I. Golubtsov, R. B. Sartova, Z. B. Akhmetova, and A. B. Alikbayeva. "INFLUENCE OF DIGITAL TECHNOLOGIES ON THE LOGISTICS PERFORMANCE INDICATORS IN KAZAKHSTAN." Bulletin of Toraighyrov University. Economics series, no. 4.2024 (December 26, 2024): 134–44. https://doi.org/10.48081/uryb4762.

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Currently, digital transformation in the sphere of logistics activities has reached a new level. Logistics organisations in the context of the Republic of Kazakhstan are also striving to optimise business processes at the level of their enterprises by resorting to the implementation of advanced digital technologies. This article examines the impact of digital solutions on the performance of logistics organisations in Kazakhstan through regression analysis. The target data was collected within the framework of the dissertation research on the topic: “Digital Transformation of functioning of the
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Sagu, Amit. "Machine Learning Decision Tree Classifier and Logistics Regression Model." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1.4 (2020): 163–66. http://dx.doi.org/10.30534/ijatcse/2020/2491.42020.

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M, Sriram, Nithish J, Harshavardhan B, and Mrs Steffina Muthukumar. "Prediction of Diabetes Using Logistics Regression Algorithms with Flask." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 26–33. http://dx.doi.org/10.22214/ijraset.2022.41968.

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Abstract: The diabetes is one of deadly diseases on the planet. There are many kinds of diseases which has different assortments of issues for instance: coronary disappointment, visual deficiency, urinary organ infections and so forth. In such case the patient is expected to visit an analytic focus, to get their reports after meeting. Because of each time they need to contribute their time and cash. Yet, with the development of Machine Learning strategies we have the adaptability to look out a solution to the recent concern the main necessity of Artificial intelligence is data The collected da
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Pratikno, Budi, Fifthany Marchelina Napitupulu, Jajang Jajang, Agustini Tripena Br. Sb, and Mashuri Mashuri. "Binary Response on Logistics Regression Model and Its Simulation." Mathematics and Statistics 11, no. 2 (2023): 379–84. http://dx.doi.org/10.13189/ms.2023.110217.

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Rahmat, Abdul Khabir, Abdul Hakim Abdul Razak, Muhd Hafizee Shahri, et al. "Unveiling Urban Dynamics: A Bidirectional Analysis of Resilience and Logistics Performance In The Face Of Global Challenges." Global Conference on Business and Social Sciences Proceeding 16, no. 1 (2024): 31. https://doi.org/10.35609/gcbssproceeding.2024.1(31).

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The research investigates the intricate interplay between urban resilience and logistics performance, focusing on the Resilient Cities Index and the Logistics Performance Index (LPI) for the year 2023. As cities globally grapple with unprecedented environmental and geopolitical challenges, understanding the relationship between their resilience and logistical efficiency becomes crucial. The study employs regression analysis to explore how components of the Resilient Cities Index impact the LPI and vice versa, utilizing data from 25 cities. Noteworthy findings include Critical Infrastructure an
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Hao, Huicheng, Sixuan Yin, Ziyu Liu, and Zemin Liu. "Research on Agricultural Logistics Efficiency Based on DEA and Tobit Regression Models." Journal Européen des Systèmes Automatisés 55, no. 1 (2022): 71–79. http://dx.doi.org/10.18280/jesa.550107.

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As the link between production and consumption, urban and rural areas, industry and agriculture, agricultural logistics plays a vital role in optimizing the rural industrial structure and developing the rural economy. However, the efficiency of agricultural logistics has been less studied. This paper launched a study on the evaluation of agricultural logistics performance based on DEA model, constructed an input-output index system, collected and collated data on relevant indicators of agricultural logistics in 30 provinces and municipalities (excluding Tibet) in 2018 and 2019, and applied DEA
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Zuherman, Rustam, Zhafarina Fildzah, Stephani Saragih Glori, and Hartini Sri. "Pancreatic cancer classification using logistic regression and random forest." International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (2021): 476–81. https://doi.org/10.11591/ijai.v10.i2.pp476-481.

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In the medical field, technology machinery is needed to solve several classification problems. Therefore, this research is useful to solve the problem of the medical field by using machine learning. This study discusses the classification of pancreatic cancer by using regression logistics and random forest. By comparing the accuracy, precision, recall (sensitivity), and F1-score of both methods, then we will know which method is better in classifying the pancreatic cancer dataset that we get from Al-Islam Hospital, Bandung, Indonesia. The results showed that random forest has better accuracy t
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Qiu, Zhengyang, Moziyan Zhang, and Ruoye Zhang. "The Impact of COVID-19 on Logistics in Context of Regression Analysis." BCP Business & Management 38 (March 2, 2023): 1138–44. http://dx.doi.org/10.54691/bcpbm.v38i.3838.

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Since 2020, the epidemic has significantly affected China’s development in several different areas. As a result of the epidemic’s shifting circumstances, numerous industries have seen diverse transformations. On the other hand, the logistics sector has grown as a result of the epidemic, for instance, as consumers rely increasingly on e-commerce platforms for their purchasing. Still, it has also been impacted by national legislation. This study examines the relationship between several logistics indicators and the number of new cases added to the epidemic in order to provide an overview of the
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Munkongtum, Chutidaj, Supat Prapart, Sumalee Ruengpracha, Supaporn Kortrsongkram, and Jirathwat Siributr. "Measuring the efficiency of logistics channels." International Journal of Management Studies and Social Science Research 05, no. 03 (2023): 28–32. http://dx.doi.org/10.56293/ijmsssr.2022.4604.

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The researcher aims to study Measuring the efficiency of logistics channels with the purpose of research to study the testing of performance measurement tools (Performance) of logistics channels and evaluate the testing of that tool and bring effective performance measurement tools to use in the operation of logistics channels in the future. By collecting data from 515 persons Tran Slink Co., Ltd. employees and using the questionnaire as a tool. Statistics used to analyze the data were t-test, F-test (ANOVA and MANOVA), multiple correlation analysis, and multiple regression analysis. The resul
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19

Peck Jr, Jeffrey Drue, Michael S. Gendron, and Tera Black. "Transforming Logistics Pricing." International Journal of Business Intelligence Research 8, no. 1 (2017): 40–54. http://dx.doi.org/10.4018/ijbir.2017010103.

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Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and to the end consumer. This is what motivates the researchers to examine the logistics portion of the supply chain and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling, that should enable logistics managers, researchers, and others to better und
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Zaman, Khalid, Muhammad Khalid Anser, Usama Awan, et al. "Transportation-Induced Carbon Emissions Jeopardize Healthcare Logistics Sustainability: Toward a Healthier Today and a Better Tomorrow." Logistics 6, no. 2 (2022): 27. http://dx.doi.org/10.3390/logistics6020027.

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Background: Logistics operations are considered essential for transporting commodities from one location to another, helping to promote global economic activity. On the other hand, its negative impact eclipses its positive impact, namely the rise in healthcare expenditures due to its ecological footprint. Globally, rising out-of-pocket health expenses result from logistic-induced carbon emissions, posing a danger to the long-term viability of healthcare. Methods: Based on this critical fact, this study examined the impact of logistics operations on healthcare costs by controlling for carbon em
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Xiuping, Sun. "An Enhanced Value Chain Model Using Regression Analysis Method." International Journal of Emerging Technology and Advanced Engineering 12, no. 6 (2022): 94–104. http://dx.doi.org/10.46338/ijetae0622_13.

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Click and mortar or indirect distribution management refers to an omni-channel eCommerce business model that integrates online and offline operations, whereas traditional brick and mortar or direct distribution management refers to a traditional street-side business that offers products and services to its customers face-to-face in an office or store that the business owns or rents. Customers can shop over the internet on the retailer’s website, and still be able to shop at the retailer’s brick and mortar shop. This study determined the status of distribution management of selected retail stor
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Lê Tấn, Bửu, Chính Trần Minh та Thành Đặng Nguyễn Tất. "Core Criteria Affecting Decisions to Select Logistics Services Suppliers in Hồ Chí Minh City". Journal of Asian Business and Economic Studies 222 (1 жовтня 2014): 124–41. http://dx.doi.org/10.24311/jabes/2014.222.08.

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Outsourcing of logistics services has become popular since the beginning of the 21st century. Along with increasingly great changes in supply of logistics services, exploring customers’ demand and core criteria affecting decisions to select logistics services suppliers becomes increasingly necessary. Employing the EFA and binary logistic regression, the research identifies eight core criteria affecting decisions to select service suppliers by HCMC-based exporters and importers: quick response to customers’ demand, updating service supplying fares, brand reputation of logistics services supplie
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Solanki, Anuj. "Real-Time Extracted Hotel Reviews Analysis Using Logistic Regression." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48602.

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Abstract— In this study, we focus on real-time analysis of hotel reviews using logistic regression. The reviews are directly extracted from Google through web scraping, utilizing Selenium in headless browser mode. Once collected, the reviews undergo preprocessing steps including tokenization, stop word removal, and TF-IDF vectorization. The cleaned and vectorized data is then used to train a logistic regression model, which classifies the reviews as either positive or negative. The classification results are displayed in real-time through a Streamlit-based user interface, enabling users to ins
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Nendi, Nendi, and Arief Wibowo. "Prediksi Jumlah Pengiriman Barang Menggunakan Kombinasi Metode Support Vector Regression, Algoritma Genetika dan Multivariate Adaptive Regression Splines." Jurnal Teknologi Informasi dan Ilmu Komputer 7, no. 6 (2020): 1169. http://dx.doi.org/10.25126/jtiik.2020722441.

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<p>Sektor usaha logistik telah berkembang sangat pesat di Indonesia saat ini. PT. XYZ adalah sebuah perusahaan logistik yang menyediakan jasa pengiriman barang dari satu tempat menuju ke tempat yang lain. Sebagai perusahaan logistik dengan jumlah kendaraan 2.100 unit armada truk dan akan terus bertambah seiring dengan target yang dicanangkan perusahaan, dimana pada 2020 jumlah armada truk harus mencapai 6.000 unit truk. Saat ini strategi operasional logistik dihasilkan berdasarkan pengalaman dari steakholder. Hal ini tentu tidak bisa dipertanggung jawabkan secara ilmiah. Prediksi jumlah
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Çakır, Süleyman. "Measuring logistics performance of OECD countries via fuzzy linear regression." Journal of Multi-Criteria Decision Analysis 24, no. 3-4 (2016): 177–86. http://dx.doi.org/10.1002/mcda.1601.

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Gustriansyah, Rendra, Nazori Suhandi, Shinta Puspasari, Ahmad Sanmorino, and Dewi Sartika. "Toddlers’ Nutritional Status Prediction Using the Multinomial Logistics Regression Method." Journal of Computer Networks, Architecture and High Performance Computing 6, no. 1 (2023): 25–33. http://dx.doi.org/10.47709/cnahpc.v6i1.3372.

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Malnutrition is one of the foremost health problems experienced by children under five in many countries, especially in low and middle-income countries. Meanwhile, the target of Sustainable Development Goals (SDGs) 2.2 is that all forms of malnutrition must end by 2025. Therefore, this study aims to predict the toddlers’ nutritional status (malnutrition, undernutrition, overnutrition, and normal nutrition) based on age, body mass index (BMI), weight, and length using the Multinomial Logistic Regression (MLR) classification method. The dataset consists of two hundred toddlers obtained from the
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AYANTOYINBO, Boye, and Adeolu GBADEGESIN. "EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION." International Journal of Engineering Technologies and Management Research 8, no. 3 (2021): 18–26. http://dx.doi.org/10.29121/ijetmr.v8.i3.2021.875.

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The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data. The findings of the study showed that l
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Tare, Apeksha, Merten Nefs, Eric Koomen, and Erik Verhoef. "Mapping Logistics Development in the Netherlands." AGILE: GIScience Series 4 (June 6, 2023): 1–6. http://dx.doi.org/10.5194/agile-giss-4-45-2023.

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Abstract. The increasing demand for logistics real estate calls for a better understanding of the location dynamics of logistics firms. Previous empirical studies have largely focused on describing the spatial patterns of logistics but not on explaining the factors that lead to them. To fill this void, we develop a unique dataset of logistics buildings in the Netherlands and employ it in a multinomial logistic regression model to study the impact of key spatial factors on logistics development in the Netherlands during the period 1990-2020. In general, we find a positive influence of highway a
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Rustam, Zuherman, Fildzah Zhafarina, Glori Stephani Saragih, and Sri Hartini. "Pancreatic cancer classification using logistic regression and random forest." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (2021): 476. http://dx.doi.org/10.11591/ijai.v10.i2.pp476-481.

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<span id="docs-internal-guid-2f1ba81b-7fff-8c46-5600-cbb159235091"><span>In the medical field, technology machinery is needed to solve several classification problems. Therefore, this research is useful to solve the problem of the medical field by using machine learning. This study discusses the classification of pancreatic cancer by using regression logistics and random forest. By comparing the accuracy, precision, recall (sensitivity), and F1-score of both methods, then we will know which method is better in classifying the pancreatic cancer dataset that we get from Al-Islam Hosp
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Fang, Lingling, and Yunxia Zhang. "Probability Density Function Analysis Based on Logistic Regression Model." International Journal of Circuits, Systems and Signal Processing 16 (January 5, 2022): 60–69. http://dx.doi.org/10.46300/9106.2022.16.9.

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The data fitting level in probability density function analysis has great influence on the analysis results, so it is of great significance to improve the data fitting level. Therefore, a probability density function analysis method based on logistic regression model is proposed. The logistic regression model with kernel function is established, and the optimal window width and mean square integral error are selected to limit the solution accuracy of probability density function. Using the real probability density function, the probability density function with the smallest error is obtained.
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Wang, Shen-Xiang, and Cheng-Yan Wei. "Demand Prediction of Cold Chain Logistics Under B2C E-Commerce Model." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 7 (2018): 1082–87. http://dx.doi.org/10.20965/jaciii.2018.p1082.

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In order to meet the increasing demand, the demand of cold chain logistics under the background of B2C e-commerce mode is predicted, to provide theoretical guidance for the development of cold chain logistics. A multivariate linear regression demand prediction model based on grey relational analysis is proposed. The present situation of cold chain logistics demand is as the basis for the analysis. Using appropriate quantitative analysis method, the factors affecting the demand of cold chain logistics are screened, and the selection principles of logistics demand evaluation index for cold chain
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Galkin, Andrii, Yevhen Kush, Nataliia Davidich, and Yuriy Davidich. "Evaluation of influence of the logistics chain infrastructure on the logistics costs formation." SHS Web of Conferences 67 (2019): 03002. http://dx.doi.org/10.1051/shsconf/20196703002.

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The article is devoted to revealing the influence of the infrastructure of logistics chain on expenses in it. Possible types of warehouses which can be used in the logistics chain were identified. The expenses on the functioning of the warehouse according to its parameters were analyzed. The variable costs estimation of the warehouse was modelled via the freight turnover. The fixed costs estimation of the warehouse was modelled via its area. Regression nonlinear models of variables and fixed expenses of own/hired warehouse were obtained.
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Umar, Adeiza Muazu. "Logistics Management and the Performance of Manufacturing Firms in Selected States of Northern Nigeria." International Journal of Engineering and Management Research 9, no. 1 (2019): 49–57. https://doi.org/10.5281/zenodo.3357329.

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The study examined the role of logistics in manufacturing firms’ performance in some states in Northern Nigeria. A firm-level survey was conducted in a cross-sectional examination of members of the Manufacturers Association of Nigeria (MAN), with a sample of 144 firms. The study was underpinned by the resource-based theory, and data was analyzed using multiple regression analysis through the partial least squares structural equation modeling (PLSSEM). It was discovered that both inbound and outbound logistics have positive relationships with performance. However, the relationship between
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Ji Mun, Leow, Liew Pei Shan, Dazmin Daud, and Nursyamilah Annuar. "Perceptions of Undergraduate Logistics Students on Knowledge of Logistics: A Case of Private University in Malaysia." Jurnal Intelek 17, no. 2 (2022): 135–48. http://dx.doi.org/10.24191/ji.v17i2.18186.

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The demand for logistics is increasing rapidly these days, thus the knowledge of logistics plays an important role. There are many types of businesses involving logistic activities which require competent logisticians. Students who graduate from logistics or supply chain programmes are expected to have the knowledge of logistics when they work and later become competent. There is a gap where logistics programmes at higher education institutions need relevant curriculum so that the graduates excel not only in theory but also in practical subjects. This research paper aims to explore the percept
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Magazzino, Cosimo, Andrew Adewale Alola, and Nicolas Schneider. "The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: A quantile regression evidence." Journal of Cleaner Production 322 (November 2021): 129050. http://dx.doi.org/10.1016/j.jclepro.2021.129050.

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Zhang, Qin, Yin Kui Liang, Wen Xia Yu, and Qiang Zhang. "Generalized Regression Neural Network Cargo Flow Forecast Model in Logistics Park Based on Radial Basis Function." Advanced Materials Research 287-290 (July 2011): 622–25. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.622.

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According to cargo flow, the strength of the logistics supply need could be predicted. Improving predicting accuracy can provide a scientific basis for the construction and operation on the logistics park. Generalized regression neural network model of logistics park is introduced under the impact of supply chain management, and designing steps about the prediction model is given. And the prediction model predicts Jinan Gaijiagou Logistics Park well.
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Sivan, Syamaruthadevi, Babudass M. Naidu, Farha Ghapar, Li Lian Chew, Ahmad Rais Mohamad Mokhtar, and Veera Pandiyan Kaliani Sundram. "The Logistics Safety Practices and Organisation Performance in Malaysia." Smart Journal of Business Management Studies 20, no. 2 (2024): 32–44. http://dx.doi.org/10.34293/2321-2012.2024.0002.4.

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This study examined the nexus between logistics safety practices and organizational performance in Malaysia. Utilizing regression analysis, data, garnered from logistics firms were analysed to discern the influence of logistics safety practices on various performance indicators. The findings revealed the pivotal role of safety measures in augmenting operational efficiency and effectiveness within Malaysia’s logistics landscape. This research would contribute to a nuanced understanding of how safety initiatives impact organizational outcomes, offering insights into the intricate interplay betwe
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Souza Vasconcelos, Julio Cezar, Denize P. dos Santos, Pâmela Rafaela O.B. Cavallari, et al. "A New Regression Model Based on an Extended Inverse Gaussian Distribution with Application to Soybean Processing Plants in Brazil." Austrian Journal of Statistics 54, no. 2 (2025): 101–24. https://doi.org/10.17713/ajs.v54i2.1976.

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Grain producers in Brazil often depend on third-party services for the transportation, processing and storage of their production, as, for the most part, they do not have silos on their properties. In this context, efficient logistics is essential to optimize processes and increase reliability between customers and service providers. This study focuses on the logistical analysis of truck traffic at two grain processing plants, examining different receiving protocols to evaluate internal vehicle flow during peak production conditions. The data is analyzed using a multiple regression model with
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Khayyat, Mashael M., Jana Jambi, Nihal Kutbi, et al. "Logistic caravan: A smart transportation system for green logistics and sustainable practices." International Journal of ADVANCED AND APPLIED SCIENCES 12, no. 6 (2025): 154–68. https://doi.org/10.21833/ijaas.2025.06.015.

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This study introduces the logistic caravan, a delivery solution based on an advanced method called "Intelligent Penguin Optimizer tuned Logistic Regression (IPO-LR)." This system aims to improve delivery services in rural areas by offering timely, affordable, and environmentally friendly solutions. It uses advanced technologies such as predictive analytics and geospatial mapping to optimize routes, forecast demand, and plan schedules. Key features include joint ordering, real-time tracking, and scheduled deliveries, all designed to improve operational efficiency and customer satisfaction. The
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Rifai, Firas, Bushra M. Ramadan, A. S. H. Yousif, Mohammad Al-Dweiri, and Ayman Abdalmajeed Alsmadi. "The impact of using outsourcing strategy by humanitarian organizations on logistical performance: An empirical investigation from a developing country." Journal of Governance and Regulation 10, no. 2 (2021): 118–33. http://dx.doi.org/10.22495/jgrv10i2art11.

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This paper empirically investigates the potential benefits of outsourcing humanitarian logistics activities to commercial logistics service providers (LSPs) to improve rescue missions in the Al Zaatari Syrian refugee camp in Jordan. The study uses a quantitative research approach, a survey data set of 140 questionnaires was collected from the managers and managerial staff dealing with logistical activities. First, a comprehensive review of related literature was performed to guide this research and then to test the main hypotheses of this study, correlation and regression analysis were carried
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Lazuwardi, Burhanuddin. "LOGISTICS REGRESSION MODELING ON INFANT MORTALITY RATES IN EAST JAVA PROVINCE." Indonesian Journal of Public Health 15, no. 2 (2020): 146. http://dx.doi.org/10.20473/ijph.v15i2.2020.146-152.

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Infant Mortality Rate was death that occurs between the time after the baby was born until the baby not exactly one year old. Broadly speaked, from the side of the caused of infant mortality there are two kinds of endogenous infant death and exogenous infant mortality. Estimated about 8.8 million children whose age less than 5 years passed away. Based on previous data IDHs indicated that infant mortality has fallen by half, from 68 deaths per 1,000 live births for the 1987-1991 period to 32 deaths per 1,000 births for the 2008-2012 period. The purposed of this researched was to examine which f
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Rohmah, Devi Azarina Manzilir, Ani Budi Astuti, and Achmad Efendi. "Determination of Recent In-Migrants in Yogyakarta using Bayesian Regression Logistics." Asian Journal of Probability and Statistics 22, no. 3 (2023): 1–14. http://dx.doi.org/10.9734/ajpas/2023/v22i3483.

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Aims: This research aims to find out the status determinant of recent in-migrants entering the province of Yogyakarta, Indonesia in 2021 with Bayesian logistic regression combined with a nonlinear principal component analysis in the process of forming a latent variable.
 Study Design: Quantitative Design.
 Place and Duration of Study: This research was carried out in the city of Yogyakarta with the data used is 1 year data throughout 2021.
 Methodology: The data were obtained from the results of national socio-economic surveys (SUSENAS) KOR in March 2021.
 Results: The rese
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Lee, Myung-Sik, Hee-Chan Ryu, and Choong-Bae Lee. "Factors Affecting Selection of Types of Freight Forwarder Based On Outsourcing Motivation." Korean Academy Of International Commerce 37, no. 4 (2022): 41–61. http://dx.doi.org/10.18104/kaic.2022.37.4.41.

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Purpose : The purpose of this study is to present implications from analyzing the type of forwarder selected based on the outsourcing motivations of shippers.
 Research design, data, and methodology : This study separates logistics outsourcing motivational factors and types of forwarders into small and large, domestic and global, general and specialized. A questionnaire targets practitioners who have experience in business relationships with forwarders. Logistic regression analysis is used to test the research hypotheses.
 Results : We found that shippers who pursue freight rate redu
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Singharat, Wanlop, Tanpat Kraiwanit, and Aishath Rafiyya. "The determinants of a logistic service provider in an emerging country: A governance implication." Journal of Governance and Regulation 13, no. 4, special issue (2024): 228–35. http://dx.doi.org/10.22495/jgrv13i4siart1.

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The logistics services sector is a critical component of any nation’s economy, responsible for facilitating the seamless flow of goods and services (Butt et al., 2023). This research aims to delve into the determinants that impact logistics services in Thailand. Employing a quantitative research methodology, data was gathered from a sample of 675 Thai individuals who had experience with logistics services. The study utilised convenience sampling, and data analysis encompassed various statistical measures, including percentages, means, standard deviations, and binary logistic regression. The st
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Sokhetska, Anna, Oleksandr Koren, Andrii Kravchenko, Natalia Danik, and Sofiia Leonova. "The role of the Internet of Things in increasing the efficiency of logistics companies." Acta logistica 11, no. 02 (2024): 257–67. http://dx.doi.org/10.22306/al.v11i2.508.

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Raising efficiency encourages logistics companies to use modern technologies. Using Internet of Things (IoT) devices improves logistical efficiency. The aim of the research is to determine the role of IoT in increasing the efficiency of logistics processes. The study was based on information about the logistics activities of the Supply Chain of one of the largest logistics companies in the world — DHL Group. The study covers the period 2009-2022. The research was conducted using linear regression models tested by the least squares method. The impact of the use of IoT devices was introduced int
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Budniuk, Olexandr, Dmytro Havrychenko, Serhii Shcherbakov, Аnzhela Olkhovska, and Hanna Mazurenko. "Optimizing Medical Goods Transportation Through Advanced Logistics Networks." Journal of Management World 2025, no. 1 (2025): 766–70. https://doi.org/10.53935/jomw.v2024i4.796.

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The purpose of the study is to model the process of assessing the level of organization of logistics networks for the transportation of medical goods. The object of the study is the modern logistics network for transporting goods in the Czech Republic. Thescientific task is to formulate a model for assessing the level of organization of logistics networks for the transportation of medical goods. The research methodology includes a modelling method based on correlation-regression analysis and regression equations and a fuzzy modelling method. As a result of the use of these methods, it was inve
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Braga Junior, Sergio Silva, Karina Tonelli Silveira Dias Junqueira, Dirceu Da Silva, and Sandra Cristina Oliveira. "Análise sobre a disposição para implementação da logística reversa no varejo supermercadista." International Journal of Innovation 8, no. 2 (2020): 204–22. http://dx.doi.org/10.5585/iji.v8i2.17699.

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Purpose: The objective of this research was to analyze the willingness to implement reverse logistics in supermarket retail.Methodology: Data were collected on the practice of reverse logistics from 18 supermarkets and using logistic regression to generate a model for evaluating the disposition for such practice.Originality/Relevance: In the literature, there are no studies that suggest a model for implementation and guidance for reverse logistics, since the model proposed in the present study can be applied in other areas of knowledge.Main results: As a result, it was observed that through th
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Ponanake, Pareeyawadee. "Trend of BS 8900: 2006 Guidance for Managing Sustainable Development Application in Thai Logistics Service Providers." Information Management and Business Review 6, no. 5 (2014): 226–33. http://dx.doi.org/10.22610/imbr.v6i5.1119.

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The research aimed to study 1) the opinions of Thai logistics provider towards BS8900:2006 Guidance for Managing Sustainable Development and 2) the trend of Thai logistics providers towards the application of BS8900:2006 Guidance for Managing Sustainable Development. Populations were Freight Forwarding service providers on the list of Thailand’s logistics service providers for freight forwarding service and TIFFA including international logistics company i.e. UPS, DHL, TNT and FedEX. The sample groups were random by multi stage sampling. The size of sample group was 168 persons. The research
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Uca, Nagehan, Huseyin Ince, and Halefsan Sumen. "The Mediator Effect of Logistics Performance Index on the Relation Between Corruption Perception Index and Foreign Trade Volume." European Scientific Journal, ESJ 12, no. 25 (2016): 37. http://dx.doi.org/10.19044/esj.2016.v12n25p37.

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Logistics performance of a country plays an important role within both economic and social developments. Therefore examining the relationship among the logistic performance, corruption and foreign trade volume of a country would contribute to the literature. Logistics Performance Index (LPI) has firstly been issued byWorld Bank in 2007 and continued in the years 2010, 2012, 2014. In this paper the mediator effect of Logistics Performance Index (LPI) on the relation between Corruption Perception Index (CPI) and Foreign Trade Volume (FTV) analyzed for the years 2007, 2010, 2012, 2014. The hierar
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李, 洋洲. "Logistics Demand Forecasting in Yangtze River Delta Based on Exponential Smoothing-Regression Model and Grey-Regression Model." Operations Research and Fuzziology 13, no. 04 (2023): 4025–40. http://dx.doi.org/10.12677/orf.2023.134403.

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