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Journal articles on the topic '"Spyder" tool'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Zhang, Han, and Yao Wu. "The Analysis and Implementation of Film Decision-Making Based on Python." Scientific Programming 2022 (September 23, 2022): 1–7. http://dx.doi.org/10.1155/2022/4131316.

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With the growing development of the era of big data, data acquisition and analysis have become hot spots, and Python-based crawler technology is one of the most widely used tools in data analysis work at present. In this paper, we apply Python crawler key technology to acquire data of movie list and hot movies on Cat’s Eye movie network, analyze data based on Python development environment Spyder, use the Numpy system to store and process large data, Chinese Jieba word separation tool to crawl data for word separation text processing, Snownlp library to process text sentiment, and finally by t

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2

Vidit, Kanungo, and B. Tulasi. "Data visualization and toss related analysis of IPL teams and batsmen performances." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4423–32. https://doi.org/10.11591/ijece.v9i5.pp4423-4432.

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Sports play a very significant role in the development of the human persona. Getting involved in games like Cricket and other various sports help us to build character, discipline, confidence and physical fitness. Indian Premier League, IPL provides the most successful form of cricket as it gives opportunities to young and talented players to show case their talents on various pitch. Decision-makers are the utmost customers for all fundamentals in the sports analytics framework. Sports analytics has been a smash hit in shaping success for many players and teams in various sports. Sports analyt

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3

Harshpreet Kaur, Golmei Shaheamlung,. "The Diagnosis of Chronic Liver Disease using Machine Learning Techniques." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 554–64. http://dx.doi.org/10.17762/itii.v9i2.382.

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In the 21st-century, the issue of liver disease has been increasing all over the world. As per the latest survey report, liver disease death toll has been rise approximately 2 million per year worldwide. The overall percentage of death by liver disease is 3.5% worldwide. Chronic Liver disease is also considered to be one of the deadly diseases, so early detection and treatment can recover the disease easily. Due to rapid advancement in Artificial intelligence (AI), like various machine learning algorithms SVM, K-mean clustering, KNN, Random forest, Logistic regression, etc., This will improve

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Journal, IJSREM. "Apple Fruit Disease Detection for Hydroponic Plants Using Machine Learning and Image Processing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27230.

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Agriculture played a major role in the economy of many developing countries. Apple falls under the commercial crops as a fruit that will be grown worldwide. In the whole growth cycle of apples, there are many types of apple diseases and pests, therefore, recognition and determination of these illnesses are essential. K-means Cluster segmentation is used to detect the diseases in the apple fruit. In the feature extraction method, the Threshold segmentation process is applied and extracts the pixels from the apple and predicts the disease present in apple fruit. The machine learning algorithm li

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Ahmad, Hafiz Farooq, Fatimah Mohammad Alhassan, Asrar Haque, and Sarah Shafqat. "A Secure Architecture for Interoperable Personal Health Records (PHR) Based on Blockchain and FHIR." Journal of Pioneering Medical Sciences 14, no. 2 (2025): 42–48. https://doi.org/10.47310/jpms2025140207.

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Personal Health Records (PHRs) would empower patients play active role for quality healthcare provision and access for routine checkup and self-care management. There is a need to recognize security, privacy and interoperability issues for successful design, implementation and adoption of PHR at a wider scale. However, it is one of the greatest challenges to achieve interoperability, security and privacy simultaneously in healthcare domain. Health Level Seven (HL7) international standards body is working to propose interoperability standards for healthcare information systems. However, privacy

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6

Zhang, Qian, Eric Nigel, Alvin Yu, et al. "Abstract 5560: KIR-based CAR design showed durable antitumor efficacy by altered internalization kinetics following persistent antigenic stimulation." Cancer Research 82, no. 12_Supplement (2022): 5560. http://dx.doi.org/10.1158/1538-7445.am2022-5560.

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Abstract Poor persistence of functional chimeric antigen receptor (CAR) T cells in the tumor microenvironment can limit the effectiveness of the antitumor immune response. We previously showed that T cells expressing a multichain CAR design that uses an activating killer immunoglobulin-like receptor (KIR) transmembrane (TM) and cytoplasmic domain co-expressed with the ITAM-containing adapter, DAP12 (KIR-CAR) are able to control large, pre-established tumors that cannot be controlled by 2nd generation CD3ζ-based CAR T cells. This improved function is associated with maintenance of KIR-CAR expre

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7

Abdullah, Azizol, Ali Nasser Ahmed Albaihani, Baharudin Osman, and Yahya Omar. "Detecting Wormhole Attack in Environmental Monitoring System for Agriculture using Deep Learning." Journal of Advanced Research in Applied Sciences and Engineering Technology 51, no. 2 (2024): 153–76. http://dx.doi.org/10.37934/araset.51.2.153176.

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The Internet of Things (IoT) is a rapidly growing field that connects various devices and systems to the internet, enabling them to communicate and share data. However, this increased connectivity also makes IoT networks vulnerable to various types of attacks, one of which is the wormhole attack. A wormhole attack is a type of security threat in which an attacker creates a tunnel between two or more nodes in an IoT network, allowing the attacker to intercept, modify or inject malicious packets into the network. This can lead to serious security issues such as unauthorized access, data leakage

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8

Devika, G., D. Ramesh, and Asha Gowda Karegowda. "Analysis of Binary and Discrete Grey Wolf Optimization Algorithms Applied for Enhancing Performance of Energy Efficient Low Energy Adaptive Clustering Hierarchy." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3850–59. http://dx.doi.org/10.1166/jctn.2020.8974.

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Wireless sensor networks (WSN) are a yield of advancement in information technology and the requirement of large-scale communication infrastructures. Routing of data via selected paths is a critical task in WSN as process need to be carried on under resource constraint situations. This route identification problem can be better handled by employing appropriate heuristic bio-inspired computational intelligence optimization method. The most frequently applied routing is hierarchical routing algorithm is Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm which has limitations in identifyi

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9

Dahiya, Anchal, and Pooja Mittal. "Evaluation of Data Mining Techniques and Its Fusion with IoT Enabled Smart Technologies for Effective Prediction of Available Parking Space." International journal of electrical and computer engineering systems 12, no. 4 (2021): 187–97. http://dx.doi.org/10.32985/ijeces.12.4.2.

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After experiencing the hard times of pandemic situations we learned that if we could have a smart system that can help us in automatic parking of the vehicles then it could be a great help to society. This idea motivated us to carry out this current work. Though, nowadays, in almost every application domain, IoT techniques are the buzzword. IoT techniques can also be used to achieve efficacy in predicting free available parking space in advance. But the biggest challenge with IoT techniques is that they generate numerous data, which makes its analysis intangible. It was realized that if IoT te

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Silva, Marcelo de Araújo, and Marcos Rodrigues Simas. "Um inventário dos 25 principais influencers evangélicos no Instagram e os principais temas abordados por cada um deles, segundo a Inteligência Artificial." TEOCON - Revista Teologia Contextual 1 (May 18, 2025): e025007. https://doi.org/10.59771/teocon.2025v1.e025007.

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This work aims to carry out an inventory of the 25 main evangelical infl uencers in Brazil and the main topics addressed by each of them, with the intention of understanding the relationship between infl uencers, followers and content presented with a special focus on Instagram. To collect data on the topics addressed by them, the Microsoft Copilot Artifi cial Intelligence tool was used, as well as data capture with the respective profi les of these infl uencers on Instagram. For data collection, the Microsoft Copilot Artifi cial Intelligence tool was used, as well as the capture of data with

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11

Abdel-Shafi, Al-Mohammadi, Hamdi, Moustafa, and Enan. "Biological Characterization and Inhibition of Streptococcus pyogenes ZUH1 Causing Chronic Cystitis by Crocus sativus Methanol Extract, Bee Honey Alone or in Combination with Antibiotics: An In Vitro Study." Molecules 24, no. 16 (2019): 2903. http://dx.doi.org/10.3390/molecules24162903.

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Streptococcus pyogenes (S. pyogenes) ZUH1 was isolated and characterized using morphological, cultural and biochemical methods. The results showed that the marker genes (namely spyCEP, ssa, sic, sdaB and speG) indicating group A streptococci (GAS) were detected in the S. pyogenes genome. The results showed that the S. pyogenes strain was inhibited by Crocus sativus methanol extract (CSME), bee honey (BH) and catfish glycoprotein (CFG). The inhibitory activity of these natural agents were compared with standard antibiotics such as Ceftazidime (30 μg/mL), Cefoperazone (75 μg/mL), Cefoxitin (30 μ

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Kareegalan, Kunaprasan, Aziah Asmawi, Mohd Taufik Abdullah, Mohd Izuan Hafez Ninggal, Muhammad Daniel Hafiz Abdullah, and Yousif Raad Muhsen. "Convolutional Long Short-Term Memory for Fileless Malware Detection." Journal of Advanced Research in Applied Sciences and Engineering Technology 64, no. 4 (2025): 136–57. https://doi.org/10.37934/araset.64.4.136157.

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In cybersecurity, the rise of fileless malware poses a significant challenge to endpoint security. Traditional detection methods often fail against these sophisticated attacks, necessitating advanced techniques like deep learning models. This study highlights the limitations of Bi-Directional Long Short-Term Memory (BLSTM) models in dynamic malware analysis and proposes enhancements through Convolutional Long Short-Term Memory (ConvLSTM) architecture. BLSTM models process input sequences in forward and backward directions, combining the results into one output. While this dual-layer approach i

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13

Reimeir, Benjamin, Anna Wargel, Franziska Riedl, et al. "Neil Armstrong’s digital twin: An integrative approach for movement analysis in simulated space missions." Current Issues in Sport Science (CISS) 9, no. 4 (2024): 018. http://dx.doi.org/10.36950/2024.4ciss018.

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Introduction and Purpose Space exploration is transitioning to a new era. NASA’s Artemis program is spearheading crewed missions to the Moon in the next decade, paving the way for eventual human exploration of Mars (Smith et al., 2020). However, space missions further afar from Earth require a shift in operational concepts towards an increasingly autonomous mission architecture due to communication delay (Belobrajdic et al., 2021). Analog space missions, such as AMADEE24, address these methodological challenges in a terrestrial simulation scenario (Preston & Dartnell, 2014). In order to im

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14

Abd Halim, Suhaila, Yupiter H. P. Manurung, Muhamad Aiman Raziq, et al. "Quality prediction and classification of resistance spot weld using artificial neural network with open-sourced, self-executable and GUI-based application tool Q-Check." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-29906-0.

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AbstractOptimizing Resistance spot welding, often used as a time and cost-effective process in many industrial sectors, is very time-consuming due to the obscurity inherent within process with numerous interconnected welding parameters. Small changes in values will give effect to the quality of welds which actually can be easily analysed using application tool. Unfortunately, existing software to optimize the parameters are expensive, licensed and inflexible which makes small industries and research centres refused to acquire. In this study, application tool using open-sourced and customized a

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15

"Assessment of Embodied Energy for an Institutional Building." International Journal of Recent Technology and Engineering 8, no. 3 (2019): 3151–58. http://dx.doi.org/10.35940/ijrte.c4657.098319.

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Today, developing nations are witnessing an unprecedented pace of urbanization in the wake of industrialization and globalization. This is giving rise to an ever increasing demand for housing and infrastructure to support the growing population and its activities. Embodied energy is the energy in total needed in manufacturing and extracting the raw materials, energy consumed for transportation and the external energy applied to raw materials in producing or assembling the final product. In this project, Energy accounted in different material used for construction of this building is calculated

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16

"Evaluation of Machine Learning Algorithms for Crop Yield Prediction." International Journal of Engineering and Advanced Technology 8, no. 6 (2019): 4082–86. http://dx.doi.org/10.35940/ijeat.f8640.088619.

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Agriculture plays a significant role in the growth of the national economy. It relay on weather and other environmental aspects. Some of the factors on which agriculture is dependent are Soil, climate, flooding, fertilizers, temperature, precipitation, crops, insecticides and herb. The crop yield is dependent on these factors and hence difficult to predict. To know the status of crop production, in this work we perform descriptive study on agricultural data using various machine learning techniques. Crop yield estimates include estimating crop yields from available historical data such as prec

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17

Dodo, Yakubu, Kiran Arif, Mana Alyami, Mujahid Ali, Taoufik Najeh, and Yaser Gamil. "Estimation of compressive strength of waste concrete utilizing fly ash/slag in concrete with interpretable approaches: optimization and graphical user interface (GUI)." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-54513-y.

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AbstractGeo-polymer concrete has a significant influence on the environmental condition and thus its use in the civil industry leads to a decrease in carbon dioxide (CO2) emission. However, problems lie with its mixed design and casting in the field. This study utilizes supervised artificial-based machine learning algorithms (MLAs) to anticipate the mechanical characteristic of fly ash/slag-based geopolymer concrete (FASBGPC) by utilizing AdaBoost and Bagging on MLPNN to make an ensemble model with 156 data points. The data consist of GGBS (kg/m3), Alkaline activator (kg/m3), Fly ash (kg/m3),

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18

Rivera-Hernandez, Tania, Diane G. Carnathan, Scott Jones, et al. "An Experimental Group A Streptococcus Vaccine That Reduces Pharyngitis and Tonsillitis in a Nonhuman Primate Model." mBio 10, no. 2 (2019). http://dx.doi.org/10.1128/mbio.00693-19.

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ABSTRACT Group A Streptococcus (GAS) infections account for an estimated 500,000 deaths every year. This bacterial pathogen is responsible for a variety of mild and life-threatening infections and the triggering of chronic autoimmune sequelae. Pharyngitis caused by group A Streptococcus (GAS), but not asymptomatic GAS carriage, is a prerequisite for acute rheumatic fever (ARF). Repeated bouts of ARF may trigger rheumatic heart disease (RHD), a major cause of heart failure and stroke accounting for 275,000 deaths annually. A vaccine that prevents pharyngitis would markedly reduce morbidity and

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