Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system. by Gourab Saha, Fariha Shahrin, Farhan Hasin Khan, Mashook Mohammad Meshkat, Akm Abdul Malek Azad

“…These findings highlight the effectiveness of advanced computational techniques in enhancing agricultural practices and resource management.…”
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Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

“…Chromosomes representing points on an elliptic curve are initialized randomly, evaluated for their proximity to a predefined target point using a fitness function, and subjected to tournament selection to determine parents for the next generation. …”
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Advancements in Sustainable Biochar Production from Waste: Pathways for Renewable Energy Generation and Environmental Remediation by Sara Mrhari Derdag, Naaila Ouazzani

“…By transforming waste into value-added products, biochar technology supports circular economy principles and promotes resource recovery. Ongoing research aimed at optimizing production processes and understanding application-specific mechanisms is crucial to fully realizing the environmental potential of biochar.…”
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Non-destructive identification of commercial jerky types based on multi-band hyperspectral imaging with machine learning by Yuanxi Han, Liang Li, Siyuan Jiang, Pengpeng Sun, Wenliang Wu, Zhendong Liu

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TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

“…Criteria such as energy efficiency, environmental impact, cost and resource availability are considered, each characterized by its respective membership function. …”
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Contrasting responses of soil bacterial and fungal networks to photovoltaic power station by Teng Li, Leilei Lu, Ziqing Kang, Huijun Li, Jihua Wu, Weiguo Du

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Evaluation of the Tree Composition Suitability in Srengseng Urban Forest DKI Jakarta Province by Anggi Aprigianti, Denni Susanto, Mukhlison

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Integrating isotopic niche metrics and gut microbiota assembly reveals coexistence mechanisms in subtropical riverine fish by Yaqiu Liu, Xinhui Li, Konstantinos Ar. Kormas, Chunni Kou, Huifeng Li, Yuefei Li, Jie Li

“…Furthermore, our findings indicated fish host trophic niche differentiation emerges as an essential adaptive mechanism facilitating interspecific coexistence by minimizing resource competition. Crucially, we identified the similarity of the intestinal microbial community structure is closely related to the degree of overlap of its nutritional ecological niche, indicating functional convergence between host trophic niches and their symbiotic microbiomes.These microbial adaptations facilitate nutritional optimization from varied trophic sources, mediate interspecific resource partitioning, and expand ecological opportunities within the fish community. …”
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Collaborative Federated Learning of Unmanned Aerial Vehicles in Space–Air–Ground Integrated Network by Huibo Li, Peng Gong, Siqi Li, Weidong Wang, Yu Liu, Xiang Gao, Dapeng Oliver Wu, Duk Kyung Kim, Guangwei Zhang, Jihao Zhang

“…An optimization problem is proposed to minimize the total energy consumption and the loss function of local FL models. In order to solve the mixed integer nonlinear problem (MINLP), a data offloading selection strategy based on proximity discovery and an iterative method-based resource allocation algorithm (IRA) are proposed. …”
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Suitability of Utilization of Compositional Nutrient Diagnosis on Diagnosis of Foliar Nutrient in Litchi and Longan by Yongcong ZHU, Donglin LUO, Cuihua BAI, Lixian YAO

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Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

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A Multi-Criteria Decision-Making Approach for Sustainable Energy Prioritization by Mohsen Rezaei

“…Iran’s economy is highly dependent on energy exports and applying renewable energy (RE) resources is vital to optimize consumption function. …”
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Bioremediation Potential of <i>Rhodococcus qingshengii</i> PM1 in Sodium Selenite-Contaminated Soil and Its Impact on Microbial Community Assembly by Mu Peng, Guangai Deng, Chongyang Hu, Xue Hou, Zhiyong Wang

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Soil fungi influence the relationship between plant diversity and ecosystem multifunctionality by Zhenwei Xu, Xiao Guo, Warwick J. Allen, Yi Hu, Jingfeng Wang, Mingyan Li, Linwei Wu, Weihua Guo

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EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

“…OVID (Medline, Embase, Global Health), CINAHL and SCOPUS databases, plus secondary resources, were searched until March 29, 2017. The following keywords were utilized for the systematic searching: type 2 diabetes mellitus, hyperglycemia, EZSCAN, SUDOSCAN, and sudomotor function. …”
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CADA: A Flexible and Elastic DDoS Mitigation Architecture by Junrui Wu, Zhige He, Wenyong Wang, Haoran Luo, Shuisong Hu, Yu Miao, Yubo Li, Jun Deng

“…Therefore, we propose a genetic algorithm-based quantitative deployment algorithm that generates deployment strategies for each service chain through a fitness function that quantifies response time and resource utilization. …”
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Study on Floatation Separation of Molybdenite and Talc Based on Crystal Surface Anisotropy by Qidong Zhang, Xiaoli Li, Zhifang Hu, Bowen Gao, Chen Liu

“…Floatation experiments demonstrate that pulp pH is the key controlling factor—alkaline conditions (pH > 10) effectively reduce hetero-aggregation, enabling selective molybdenite recovery. These findings provide critical insights into optimizing floatation processes for talcose molybdenite ores, enhancing resource utilization.…”
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Integrating green hydrogen storage into mine water pumping stations in the context of energy transition by Andrzej Chmiela, Beata Barszczowska, Pedro Riesgo Fernandez, Marcin Lutyński, Ronghou Liu, Le Zhang, Natalia Howaniec, Łukasz Hankus, Adam Smoliński

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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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Identification of key genes associated with mesocotyl length through a genome-wide association study in rice by Li Xue, Li Xue, Sen Wang, Sen Wang, Qiuyu Zhang, Qiuyu Zhang, Bing Han, Di Cui, Longzhi Han, Jianxin Deng, Xiaoding Ma

“…In this study, 300 rice germplasm resources with a wide range of sources were selected as experimental materials. …”
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