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Journal articles on the topic 'Human community based genetic algorithm (HCBGA)'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Nagham, A. Al-Madi, and A. El-Obaid Amnah. "Age Constraints Effectiveness on the Human Community Based Genetic Algorithm (HCBGA)." International Journal of Artificial Intelligence (IJ-AI) 7, no. 2 (2018): 78–82. https://doi.org/10.11591/ijai.v7.i2.pp78-82.

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In this paper, we use under-age constraints and apply it to the Traveling Salesman Problem (TSP). Values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and an improved approach of Genetic Algorithms named Human Community Based Genetic Algorithm (HCBGA) are being compared. Results from the TSP test on Human Community Based Genetic Algorithm (HCBGA) are presented. Best fit solutions towards slowing the convergence of solutions in different populations of different generations show better results in the Human Community Based Genetic Algorit

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A. Al-Madi, Nagham, and Amnah A. El-Obaid. "Age Constraints Effectiveness on the Human Community Based Genetic Algorithm (HCBGA)." IAES International Journal of Artificial Intelligence (IJ-AI) 7, no. 2 (2018): 78. http://dx.doi.org/10.11591/ijai.v7.i2.pp78-82.

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<span lang="EN-US">In this paper, we use under-age constraints and apply it to the Traveling Salesman Problem (TSP). Values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and an improved approach of Genetic Algorithms named Human Community Based Genetic Algorithm (HCBGA) are being compared. Results from the TSP test on Human Community Based Genetic Algorithm (HCBGA) are presented.<br /> Best fit solutions towards slowing the convergence of solutions in different populations of different generations show better results in the

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Zhao, Renjie, Tao Zhang, Shichao Zhou, and Liya Huang. "Emotional Brain Network Community Division Study Based on an Improved Immunogenetic Algorithm." Brain Sciences 12, no. 9 (2022): 1159. http://dx.doi.org/10.3390/brainsci12091159.

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Emotion analysis has emerged as one of the most prominent study areas in the field of Brain Computer Interface (BCI) due to the critical role that the human brain plays in the creation of human emotions. In this study, a Multi-objective Immunogenetic Community Division Algorithm Based on Memetic Framework (MFMICD) was suggested to study different emotions from the perspective of brain networks. To improve convergence and accuracy, MFMICD incorporates the unique immunity operator based on the traditional genetic algorithm and combines it with the taboo search algorithm. Based on this approach,

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Abbas, Zainab K., and Ayad A. Al-Ani. "An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 2 (2023): 902. http://dx.doi.org/10.11591/ijeecs.v31.i2.pp902-908.

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One of the most widely used human behavior detection methods is anomaly detection, which this article covers. Ensuring a person's safety is a crucial task in every community today due to the ever-increasing actions that can be dangerous, from planned crime to harm from an accident. Classic closed-circuit television is insufficient since a person must always be awake and available to monitor the cameras, which is costly. Also, someone's attention tends to decrease after a certain period of time. Due to these reasons, a surveillance system that is automated and able to detect unusual activities

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Zainab, K. Abbas, and A. Al-Ani Ayad. "An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection." An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection 31, no. 2 (2023): 902–8. https://doi.org/10.11591/ijeecs.v31.i2.pp902-908.

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One of the most widely used human behavior detection methods is anomaly detection, which this article covers. Ensuring a person's safety is a crucial task in every community today due to the ever-increasing actions that can be dangerous, from planned crime to harm from an accident. Classic closedcircuit television is insufficient since a person must always be awake and available to monitor the cameras, which is costly. Also, someone's attention tends to decrease after a certain period of time. Due to these reasons, a surveillance system that is automated and able to detect unusual acti

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Liu, Qiliang, Sancheng Zhu, Meihua Chen, and Wenkai Liu. "Detecting Dynamic Communities in Vehicle Movements Using Ant Colony Optimization." Applied Sciences 12, no. 15 (2022): 7608. http://dx.doi.org/10.3390/app12157608.

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Detecting dynamic community structure in vehicle movements is helpful for revealing urban structures and human mobility patterns. Despite the fruitful research outcomes of community detection, the discovery of irregular-shaped and statistically significant dynamic communities in vehicle movements is still challenging. To overcome this challenge, we developed an evolutionary ant colony optimization (EACO) method for detecting dynamic communities in vehicle movements. Firstly, a weighted, spatially embedded graph was constructed at each time snapshot. Then, an ant-colony-optimization-based spati

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Wu, Yutan, Wenjin Wang, and Yingtao Chen. "Analysis The Policies Balancing Conservation and Community Interests in Maasai Mara." Highlights in Science, Engineering and Technology 59 (July 15, 2023): 321–31. http://dx.doi.org/10.54097/hset.v59i.10145.

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This paper aims to examine what policies are appropriate to balance conservation and community interests in the Maasai Mara. Grey Relational Analysis (GRA) is used to examine the relationship between indicators divided into two categories: wildlife species interests and economic industrial interests. A qualitative analysis is performed to establish a one-to-one linear correlation between the indicators. Multiple objective nonlinear programming and genetic algorithm are then applied to determine an objective function that quantizes the interests. Maximize the number of wildlife species and loca

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Mondal, Agastya, Héctor M. Sánchez C., and John M. Marshall. "MGDrivE 3: A decoupled vector-human framework for epidemiological simulation of mosquito genetic control tools and their surveillance." PLOS Computational Biology 20, no. 5 (2024): e1012133. http://dx.doi.org/10.1371/journal.pcbi.1012133.

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Novel mosquito genetic control tools, such as CRISPR-based gene drives, hold great promise in reducing the global burden of vector-borne diseases. As these technologies advance through the research and development pipeline, there is a growing need for modeling frameworks incorporating increasing levels of entomological and epidemiological detail in order to address questions regarding logistics and biosafety. Epidemiological predictions are becoming increasingly relevant to the development of target product profiles and the design of field trials and interventions, while entomological surveill

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Keith, Monica H., Mark V. Flinn, Harly J. Durbin, et al. "Genetic ancestry, admixture, and population structure in rural Dominica." PLOS ONE 16, no. 11 (2021): e0258735. http://dx.doi.org/10.1371/journal.pone.0258735.

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The Caribbean is a genetically diverse region with heterogeneous admixture compositions influenced by local island ecologies, migrations, colonial conflicts, and demographic histories. The Commonwealth of Dominica is a mountainous island in the Lesser Antilles historically known to harbor communities with unique patterns of migration, mixture, and isolation. This community-based population genetic study adds biological evidence to inform post-colonial narrative histories in a Dominican horticultural village. High density single nucleotide polymorphism data paired with a previously compiled gen

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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Amine Abdelmalek. "Enhanced Artificial Social Cockroaches (EASC) for Modern Information Retrieval." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 2 (2016): 65–94. http://dx.doi.org/10.4018/ijcini.2016040104.

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This article deals on an improved version of the recently developed Artificial Social Cockroaches (ASC) algorithm based on several modifications. The EASC has as input a set of artificial cockroaches and N selected shelters. It is based on a random displacement step and a set of operators (selection cockroaches, shelter attraction, congener's attraction, shelter permutation). Each cockroach must be hidden in the shelter where it feels safer (evaluation function). In the recent years with the coming of the world wide web, the amount of unstructured documents available in the digital society inc

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Ahmed, M. Alkababji, and H. Mohammed Omar. "Real time ear recognition using deep learning." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 2 (2021): pp. 523~530. https://doi.org/10.12928/TELKOMNIKA.v19i2.18322.

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Automatic identity recognition of ear images represents an active area of interest within the biometric community. The human ear is a perfect source of data for passive person identification. Ear images can be captured from a distance and in a covert manner; this makes ear recognition technology an attractive choice for security applications and surveillance in addition to related application domains. Differing from other biometric modalities, the human ear is neither affected by expressions like faces are nor do need closer touching like fingerprints do. In this paper, a deep learning object

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de Abreu, Ana Paula, Frederico Chaves Carvalho, Diego Mariano, et al. "An Approach for Engineering Peptides for Competitive Inhibition of the SARS-COV-2 Spike Protein." Molecules 29, no. 7 (2024): 1577. http://dx.doi.org/10.3390/molecules29071577.

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SARS-CoV-2 is the virus responsible for a respiratory disease called COVID-19 that devastated global public health. Since 2020, there has been an intense effort by the scientific community to develop safe and effective prophylactic and therapeutic agents against this disease. In this context, peptides have emerged as an alternative for inhibiting the causative agent. However, designing peptides that bind efficiently is still an open challenge. Here, we show an algorithm for peptide engineering. Our strategy consists of starting with a peptide whose structure is similar to the interaction regio

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Mengash, Hanan Abdullah, Mohammad Alamgeer, Mashael Maashi, et al. "Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis." Cancers 15, no. 5 (2023): 1591. http://dx.doi.org/10.3390/cancers15051591.

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Cancer is a deadly disease caused by various biochemical abnormalities and genetic diseases. Colon and lung cancer have developed as two major causes of disability and death in human beings. The histopathological detection of these malignancies is a vital element in determining the optimal solution. Timely and initial diagnosis of the sickness on either front diminishes the possibility of death. Deep learning (DL) and machine learning (ML) methods are used to hasten such cancer recognition, allowing the research community to examine more patients in a much shorter period and at a less cost. Th

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Toathom, Thanan, and Paskorn Champrasert. "Vehicle Route Planning for Relief Item Distribution under Flood Uncertainty." Applied Sciences 14, no. 11 (2024): 4482. http://dx.doi.org/10.3390/app14114482.

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Flooding, a pervasive and severe natural disaster, significantly damages environments and infrastructure and endangers human lives. In affected regions, disruptions to transportation networks often lead to critical shortages of essential supplies, such as food and water. The swift and adaptable delivery of relief goods via vehicle is vital to sustain life and facilitate community recovery. This paper introduces a novel model, the Vehicle Routing Problem for Relief Item Distribution under Flood Uncertainty (VRP-RIDFU), which focuses on optimizing the speed of route generation and minimizing wai

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Aral, M. M., J. Guan, M. L. Maslia, et al. "Optimal reconstruction of historical water supply to a distribution system: A. Methodology." Journal of Water and Health 2, no. 3 (2004): 123–36. http://dx.doi.org/10.2166/wh.2004.0012.

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The New Jersey Department of Health and Senior Services (NJDHSS), with support from the Agency for Toxic Substances and Disease Registry (ATSDR) conducted an epidemiological study of childhood leukaemia and nervous system cancers that occurred in the period 1979 through 1996 in Dover Township, Ocean County, New Jersey. The epidemiological study explored a wide variety of possible risk factors, including environmental exposures. ATSDR and NJDHSS determined that completed human exposure pathways to groundwater contaminants occurred in the past through private and community water supplies (i.e. t

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Minvielle, Stephane, Céline Keime, Florence Magrangeas, et al. "A High Density Polymorphism Analysis of Factors Correlated with Neurotoxicity to Bortezomib in Patients with Multiple Myeloma." Blood 114, no. 22 (2009): 4816. http://dx.doi.org/10.1182/blood.v114.22.4816.4816.

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Abstract Abstract 4816 Bortezomib, a proteasome inhibitor, has become an essential compound in the treatment of multiple myeloma (MM). Clinically relevant (i.e. grade 2 or greater) peripheral neurotoxicity is a significant side-effect of bortezomib. As the occurrence of neurotoxicity is unforeseeable and apparently dose independent, we think that it might be associated with individual genetic characteristics such as Single Nucleotide Polymorphisms (SNP) or Copy Number Variants (CNV). In order to identify the genetic characteristics (SNP and CNV) correlated with the occurrence of neurotoxicity

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Lin, Meng-Lung, and Cheng-Wu Chen. "RETRACTED: Stability analysis of community and ecosystem hierarchies using the Lyapunov method." Journal of Vibration and Control 17, no. 13 (2010): 1930–37. http://dx.doi.org/10.1177/1077546310385737.

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In 2013 the Editor of Journal of Vibration and Control and SAGE became aware of a peer review ring involving assumed and fabricated identities that appeared to centre around Peter Chen at National Pingtung University of Education, Taiwan (NPUE). SAGE and the Editor then began a complex investigation into the case during the rest of 2013 and 2014. Following an unsatisfactory response from Peter Chen, NPUE was notified. NPUE were serious in addressing the Journal and SAGE’s concerns. NPUE confirmed that the institution was investigating Peter Chen. SAGE subsequently uncovered a citation ring inv

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Шитиков, Владимир Кириллович, Татьяна Дмитриевна Зинченко та Лариса Владимировна Головатюк. "МОДЕЛИ МАКСИМАЛЬНОЙ ЭНТРОПИИ И ПРОСТРАНСТВЕННОЕ РАСПРЕДЕЛЕНИЕ ВИДОВ ДОННЫХ СООБЩЕСТВ НА ТЕРРИТОРИИ СРЕДНЕГО И НИЖНЕГО ПОВОЛЖЬЯ". Российский журнал прикладной экологии, № 2 (25 червня 2021): 10–16. http://dx.doi.org/10.24852/2411-7374.2021.2.10.16.

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Представлены результаты применения метода максимальной энтропии (MaxEnt) для моделирования пространственного распределения видов макрозообентоса на территории Среднего и Нижнего Поволжья. Использовались данные гидробиологического мониторинга многолетних (1990-2019 гг.) исследований донных сообществ в 108 средних и малых реках. В качестве независимых переменных, отражающих условия среды, построенные модели включали климатические и ландшафтные показатели растрового типа, загружаемые с сервера WorldClim (средние температуры, количество осадков, высота и вертикальная расчлененность рельефа). Приво

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Chen, Cheng-Wu, Ken Yeh, Kevin FR Liu, and Meng-Lung Lin. "RETRACTED: Applications of fuzzy control to nonlinear time-delay systems using the linear matrix inequality fuzzy Lyapunov method." Journal of Vibration and Control 18, no. 10 (2011): 1561–74. http://dx.doi.org/10.1177/1077546311410765.

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In 2013 the Editor of Journal of Vibration and Control and SAGE became aware of a peer review ring involving assumed and fabricated identities that appeared to centre around Peter Chen at National Pingtung University of Education, Taiwan (NPUE). SAGE and the Editor then began a complex investigation into the case during the rest of 2013 and 2014. Following an unsatisfactory response from Peter Chen, NPUE was notified. NPUE were serious in addressing the Journal and SAGE’s concerns. NPUE confirmed that the institution was investigating Peter Chen. SAGE subsequently uncovered a citation ring inv

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20

Azmi, Nagham. "De Jong’s Sphere Model Test for a Human Community Based Genetic Algorithm Model (HCBGA)." International Journal of Advanced Computer Science and Applications 5, no. 1 (2014). http://dx.doi.org/10.14569/ijacsa.2014.050123.

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Liu, Zhuoyu, and Haiyan Hao. "Optimizing Shelter Site Locations in Residential Community: A GeoSimulation and Genetic Algorithm Approach." Proceedings of the International ISCRAM Conference, May 11, 2025. https://doi.org/10.59297/p7p13y73.

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As disasters, both natural and human-induced, grow more frequent, effective sheltering and evacuation become crucial. While existing studies considered approaches optimizing shelter location by simulating individuals’ evacuation behaviors, most rely on pre-determined functions and overlook the heterogeneity of individuals’ behaviors. To address this limitation and account for the complexities of residents’ evacuation processes, we develop an approach that integrates Agent Based Modeling (ABM) with a Genetic Algorithm (GA), using the evacuation simulation results from ABM to optimize community

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Taslim, Dafwen Toresa, Deny Jollyta, Des Suryani, and Eka Sabna. "Optimasi K-Means dengan Algoritma Genetika untuk Target Pemanfaat Air Bersih Provinsi Riau." Indonesian Journal of Computer Science 10, no. 1 (2022). http://dx.doi.org/10.33022/ijcs.v10i1.3064.

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Clean water is an important thing in human life. Several actions have been taken by the government to meet the clean water needs of the Riau province. One of them is the Community Based Drinking Water and Sanitation Provision program. Before carrying out activities related to the provision of clean water to the community, the targets to be achieved for the provision of clean water in the future will be determined. This study aims to klaster clean water beneficiary targets using the k-means algorithm with an optimization of the centroid value using a genetic algorithm. Average silhouette number

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23

Zimmer-Faust, Amity G., Joshua A. Steele, Xianyi Xiong, et al. "A Combined Digital PCR and Next Generation DNA-Sequencing Based Approach for Tracking Nearshore Pollutant Dynamics Along the Southwest United States/Mexico Border." Frontiers in Microbiology 12 (August 6, 2021). http://dx.doi.org/10.3389/fmicb.2021.674214.

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Ocean currents, multiple fecal bacteria input sources, and jurisdictional boundaries can complicate pollution source tracking and associated mitigation and management efforts within the nearshore coastal environment. In this study, multiple microbial source tracking tools were employed to characterize the impact and reach of an ocean wastewater treatment facility discharge in Mexico northward along the coast and across the Southwest United States- Mexico Border. Water samples were evaluated for fecal indicator bacteria (FIB), Enterococcus by culture-based methods, and human-associated genetic

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Pang, Liangyue, Ketian Wang, Ye Tao, Qinghui Zhi, Jianming Zhang, and Huancai Lin. "A New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic Factors." Frontiers in Genetics 12 (March 11, 2021). http://dx.doi.org/10.3389/fgene.2021.636867.

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Dental caries is a multifactorial disease that can be caused by interactions between genetic and environmental risk factors. Despite the availability of caries risk assessment tools, caries risk prediction models incorporating new factors, such as human genetic markers, have not yet been reported. The aim of this study was to construct a new model for caries risk prediction in teenagers, based on environmental and genetic factors, using a machine learning algorithm. We performed a prospective longitudinal study of 1,055 teenagers (710 teenagers for cohort 1 and 345 teenagers for cohort 2) aged

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Shtossel, Oshrit, Sondra Turjeman, Alona Riumin, et al. "Recipient-independent, high-accuracy FMT-response prediction and optimization in mice and humans." Microbiome 11, no. 1 (2023). http://dx.doi.org/10.1186/s40168-023-01623-w.

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Abstract Background Some microbiota compositions are associated with negative outcomes, including among others, obesity, allergies, and the failure to respond to treatment. Microbiota manipulation or supplementation can restore a community associated with a healthy condition. Such interventions are typically probiotics or fecal microbiota transplantation (FMT). FMT donor selection is currently based on donor phenotype, rather than the anticipated microbiota composition in the recipient and associated health benefits. However, the donor and post-transplant recipient conditions differ drasticall

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Chakraborty, Sayan, Raviarun Arumugaraj Nadar, and Aviral Tiwari. "Designing a drone assisted sample collection and testing system during epidemic outbreaks." Journal of Global Operations and Strategic Sourcing, December 7, 2021. http://dx.doi.org/10.1108/jgoss-02-2021-0010.

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Purpose A major component in managing pandemic outbreaks involves testing the suspected individuals and isolating them to avoid transmission in the community. This requires setting up testing centres for diagnosis of the infected individuals, which usually involves movement of either patient from their residence to the testing centre or personnel visiting the patient, thus aggregating the risk of transmission to localities and testing centres. The purpose of this paper is to investigate and minimize such movements by developing a drone assisted sample collection and diagnostic system. Design/m

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Gammanpila, H. W., M. A. Nethmini Sashika, and S. V. G. N. Priyadarshani. "Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications." Advances in Agriculture 2024, no. 1 (2024). http://dx.doi.org/10.1155/2024/2472111.

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Horticulture, a critical component of agriculture, encounters various challenges, including crop loss stemming from factors like pests, diseases, adverse weather conditions, and inefficient farming practices. The introduction of advanced technologies such as robotics and artificial intelligence (AI) holds great promise in mitigating crop losses and bolstering productivity in the field of horticulture. Robotic systems have been devised to automate labor‐intensive tasks involved in horticulture, such as harvesting, pruning, and weeding. Equipped with sensors, cameras, and intelligent algorithms,

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Ashish, Bhangale. "Human Gait Model for Automatic Extraction and Description for Gait Recognition." June 29, 2012. https://doi.org/10.5121/ijbb.2012.2202.

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International Journal on Bioinformatics & Biosciences (IJBB) Vol.2, No.2, June 2012 DOI : 10.5121/ijbb.2012.2202 15 Human Gait Model for Automatic Extraction and Description for Gait Recognition Ashish Bhangale1 , Navneet Manjhi2 and Jyoti Bharti3 1Research Scholar, CSE Dept. MANIT-Bhopal, India ashishbhangale.info@yahoo.com 2Research Scholar, CSE Dept. MANIT-Bhopal, India navneetmanjhi2010@gmail.com 3Asst. Professor, CSE Dept., MANIT-Bhopal, India jyoti2202@gmail.com ABSTRACT The gait signature is extracted directly from the evidence gathering process. This is possible by using a Fourier

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Anderson, Colin J., HsihTe Yang, Judy Parsons, et al. "Can a Liquid Biopsy Detect Circulating Tumor DNA With Low-passage Whole-genome Sequencing in Patients With a Sarcoma? A Pilot Evaluation." Clinical Orthopaedics & Related Research, June 21, 2024. http://dx.doi.org/10.1097/corr.0000000000003161.

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Background A liquid biopsy is a test that evaluates the status of a disease by analyzing a sample of bodily fluid, most commonly blood. In recent years, there has been progress in the development and clinical application of liquid biopsy methods to identify blood-based, tumor-specific biomarkers for many cancer types. However, the implementation of these technologies to aid in the treatment of patients who have a sarcoma remains behind other fields of cancer medicine. For this study, we chose to evaluate a sarcoma liquid biopsy based on circulating tumor DNA (ctDNA). All human beings have norm

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Nunes, Mark. "Failure Notice." M/C Journal 10, no. 5 (2007). http://dx.doi.org/10.5204/mcj.2702.

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   Amongst the hundreds of emails that made their way to error@media-culture.org.au over the last ten months, I received the following correspondence: Failure noticeHi. This is the qmail-send program at sv01.wadax.ne.jp.I’m afraid I wasn’t able to deliver your message to the following addresses.This is a permanent error; I’ve given up. Sorry it didn’t work out.namewithheld@s.vodafone.ne.jp>:210.169.171.135 does not like recipient.Remote host said: 550 Invalid recipient:namewithheld@s.vodafone.ne.jp>Giving up on 210.169.171.135. Email of this sort marks a moment that is

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Sarkar, Jagannath. "Genomics of Brevibacterium strains reveal adaptations necessary to acclimatize in different marine environments." June 7, 2024. https://doi.org/10.5281/zenodo.13624149.

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<strong>ABSTRACT</strong> Microbes are ubiquitous throughout the seawater and underlying sediment, which covers the vast region of the earth surface. Strains of different genera under the phylum <em>Actinobacteria</em> are ubiquitous all-over different environments of the earth surfaces. A well-studied aerobic genus, <em>Brevibacterium</em>, under the phylum also found to be omnipresent in both marine and terrestrial environments, ranging from coastal to open ocean. Which raise question, whether marine strains are phylogenetically distinct from others or not, and what are the special genomic a

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