The dietary patterns of water deer recently rediscovered in Northeast China exhibit remarkable similarities to those observed in other regions by Zongzhi Li, Zhicheng Yao, Mingchun Zhang, Romaan Hayat Khattak, Xingzhi Han, Jia Sun, Zhongyu Li, Jianmin Lang, Chong Chen, Jing Jin, Zhensheng Liu, Liwei Teng

“…The results revealed that water deer consume 110 plant species from 86 genera and 40 families annually. The dietary patterns observed in this study align closely with those reported in other regions, reflecting species-specific foraging characteristics and further validating the reliability of deep learning algorithms in ecological research. …”
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Multimorbidity of cardiometabolic diseases: a cross-sectional study of patterns, clusters and associated risk factors in sub-Saharan Africa by Charles Agyemang, Frederick Wekesah, Calistus Wilunda, Gershim Asiki, Peter Otieno, Richard E Sanya, Welcome Wami

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Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data by Daoye Zhu, Boyong Xiao, Haoling Xie, Dong Li, Haitong He, Weixin Zhai

“…Identifying agricultural machinery operations is crucial for enhancing agricultural productivity and promoting the transition to data-driven agriculture. Current research focuses solely on administrative divisions, overlooking the links between machinery movement, natural spatial patterns, and spatiotemporal dependencies. …”
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Evaluating Spatial Patterns of Ecosystem Services based on a Comparative Approach on Spatial Statistics in the Central Part of Isfahan Province by Sedighe Abdollahi, Alireza Ildoromi, Abdolrassoul Salmanmahini, Sima Fakheran

“…Overall, according to the results, the Getis-Ord Gi indicates higher spatial accuracy than Local Moran’s I method for three ecosystem services, and the Receiving Operator Characteristic is an appropriate index to evaluate the accuracy of the analytical approaches used in This research. The findings of this study can be applied by decision makers and land planner to identify and management spatial correlation patterns of ecosystem services.…”
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Improving the Efficiency of Screen Type Potato Sorting Machines by a Modification of the Sieve Drive Movement Algorithm by A. G. Ivanov, M. N. Erokhin, S. P. Kazantsev, P. V. Dorodov, I. I. Khuzyakhmetov, I. T. Khakimov

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Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method by Harman Akbar Tullah, Muh Akbar, Alem Febri Sonni, Akbar Iskandar, Erwin Gatot Amiruddin, Kamaruddin, Asnimar

“…Using advanced techniques such as social network analysis and Python language processing, as well as the application of the Naive Bayes algorithm, this research carefully examines the conversation patterns and topic trends prevalent on Twitter during the CPNS selection phase. …”
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Application of Decision Tree Algorithm in Determining the Quality of Processed Coffee Based on Consumer Preferences at Beskabean Coffee by M Arief Rahman

“…This research aims to apply the Decision Tree algorithm in determining the quality of processed Beskabean coffee based on consumer preferences. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…The FKM allows for the clustering of mixed-use urban zones with greater accuracy, identifying complex patterns, and relationships that earlier research methods often overlook. …”
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Algorithm-Based Real-Time Analysis of Training Phases in Competitive Canoeing: An Automated Approach for Performance Monitoring by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

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Implementation of Round Robin Algorithm in Public Transportation Scheduling System at Pakupatan Terminal in Serang City-Indonesia by Mochammad Darip

“…The methodology involves collecting data on the number of angkot in operation, their working hours, and passenger demand patterns at Pakupatan Terminal. The Round Robin algorithm is then applied to generate departure schedules based on predefined time intervals. …”
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Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm by Xiang Meng, Qi He, Yanhua Dong, Hongyu Sun

“…Data mining-based student consumption behavior analysis is an important part of smart campus construction, which could find students’ eating patterns and consumption levels. Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. …”
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm by S. Bharath, A. Vasuki

“…Unlike traditional methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and standard Crow Search Algorithm (CSA), which suffer from premature convergence and limited adaptability to real-time variations, Reinforcement Learning Enhanced Crow Search Algorithm (RL-CSA) which is proposed in this research work solves network reconfiguration optimization problem and minimize energy losses. …”
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Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification by P. Preethi, R. Swathika, S. Kaliraj, R. Premkumar, J. Yogapriya

“…Specifically, a deep dense neural network (DNN) is employed for its capacity to capture intricate patterns in images and extreme learning machine (ELM) for classification. …”
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Comparative Study of Time Series Analysis Algorithms Suitable for Short-Term Forecasting in Implementing Demand Response Based on AMI by Myung-Joo Park, Hyo-Sik Yang

“…This paper compares four time series forecasting algorithms—ARIMA, SARIMA, LSTM, and SVM—suitable for short-term load forecasting using Advanced Metering Infrastructure (AMI) data. …”
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Smart Data and Decision Support System for Local Optimization of Electric Charging Stations by Mauro Mazzei, Cristian Michelotti

“…This paper introduces an innovative Decision Support System (DSS) for the local optimization of Electric Vehicles (EV) charging station placement, integrating open data with advanced operational research. In contrast to existing works that typically isolate economic, geographic, or routing factors, our approach synergistically incorporates demographic statistics (ISTAT), geographic data (OpenStreetMap), and commuting patterns to optimize infrastructure deployment. …”
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Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…According to the results of orthogonal test, the sensitivity of each dominant factor to the mechanical properties of specimens with precast crack is carefully evaluated. The research findings would lay a crucial theoretical foundation for deformation control and stability analysis in engineering practice associated with stratified rock mass and provide reference for the application of 3D printing technology and FDEM algorithm to rock mechanics.…”
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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

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Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home by Yan Hu, Bingce Wang, Yuyan Sun, Jing An, Zhiliang Wang

“…However, most of the existing researches focus on offline activity recognition, but not good at online real-time activity recognition. …”
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