Agricultural drought risk assessments: a comprehensive review of indicators, algorithms, and validation for informed adaptations by Tien Le, Chayn Sun, Suelynn Choy, Yuriy Kuleshov, Trinh Duc Tran

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A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank by Ana Torralbo, Jonathan M. Davitte, Damien C. Croteau-Chonka, Cai Ytsma, Chris Tomlinson, Natalie K. Fitzpatrick, Sheng-Chia Chung, Ghazaleh Fatemifar, Adrian S. Cortes, Tom G. Richardson, Matthew Barclay, Julia Carrasco-Zanini, Chris Finan, Harry Hemingway, Aroon D. Hingorani, Valerie Kuan, Claudia Langenberg, Georgios Lyratzopoulos, R. Thomas Lumbers, Maik Pietzner, Anoop D. Shah, Johan H. Thygesen, Natalie Zelenka, John C. Whittaker, Margaret G. Ehm, Spiros Denaxas

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Personalization of Content in Video-on-Demand Services: Insights from Satisfaction over Social Media Algorithms by Alicia Urgellés-Molina, PhD., Mónica Herrero, PhD.

“…This paper explores the intersection of user satisfaction, algorithmic responsiveness, and consumption patterns, emphasizing the influence of AI-driven recommendations. …”
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A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications by Mikael Ade Krisna Respati, Byung Moo Lee

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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Abstract This research examines the application of eight different machine learning (ML) algorithms for predicting the compressive strength of high-performance concrete (HPC). …”
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Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…We show that AI helps reduce research time and improve data management. Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. …”
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Rapid classification of rice according to storage duration via near-infrared spectroscopy and machine learning by Chen Zhai, Wenxiu Wang, Man Gao, Xiaohui Feng, Shengjie Zhang, Chengjing Qian

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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…Current urban green space information models require further development and refinement in research practices, which could focus on three approaches: The standardization of modeling process, the development of sharing platforms, and the application of generative algorithms. …”
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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

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Automatic detection of human gait events: a simple but versatile 3D algorithm by Théo Vancanneyt, Camille Le Moal, Maxence Blard, Juliette Lenoir, Nicolas Roche, Céline Bonnyaud, Fabien Dubois

“…However, those methods do not fully account for intra-individual variability, particularly in the case of multiple and simultaneous gait patterns. Method We developed a deterministic algorithm called the Multi-Condition algorithm. …”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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Joint Flood Control Operation of Reservoirs in Xiaoshui Basin Based on DP-PS Algorithm by SHENG Dong, XU Xingyi, LIN Fanqi, HE Huaiguang, YUAN Yanmei, LUO Jinming

“…On this basis, the dynamic programming-pattern search algorithm (DP-PS) is introduced to solve the model, and the operation scheme under the most unfavorable flood scenario is obtained. …”
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Image Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, CHEN Feng

“…Simulation experiment of typical flow pattern is carried out by the algorithm，and compared with the traditional LBP algorithm. …”
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Development of a Mobile-Based Application for Classifying Caladium Plants Using the CNN Algorithm by Rudy Chandra, Tegar Arifin Prasetyo, Heni Ernita Lumbangaol, Veny Siahaan, Johan Immanuel Sianipar

“…To overcome this problem, research will use machine learning with the Convolutional Neural Network (CNN) algorithm to build a mobile application that can accurately classify four types of Caladiums. …”
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Exploring the use of mobile phone data for domestic tourism trip analysis by Maarten Vanhoof, Liane Hendrickx, Aare Puussaar, Gert Verstraeten, Thomas Ploetz, Zbigniew Smoreda

“…We show how temporal patterns of mobile phone use differ from baseline behaviour, how destinations of trips can algorithmically be derived, and how future research can integrate information on the activation of the social network. …”
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Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach by Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu

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Sea-land climate gradient: a factor influencing vegetation phenology patterns in Yellow River Delta region by Ruyun Liu, Quanzhou Yu, Yujie Liu, Junjie Chen, Tianquan Liang, Qingxin Tang, Yongjin Chen, Jicai Ning, Zhenguo Niu, Shaoqiang Wang

“…Therefore, we took the vegetation in the Yellow River Delta (YRD) wetland in China as a research object. The Gap Filling and Savitzky–Golay algorithm was selected to fuse MODIS_NDVI with Landsat for extracting vegetation phenology based on classification. …”
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