Results 61 to 70 of about 326 (131)

Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods

, 2021
Drought modeling is essential in water resources planning and management in mitigating its effects, especially in arid regions. Climate change highly influences the frequency and intensity of droughts. In this study, new hybrid methods, the random vector
Ozgur Kisi, Rana Muhammad Adnan, Alban Kuriqi, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Alireza Docheshmeh Gorgij   +5 more
core   +1 more source

Biosensor Advancements for Addressing Agricultural and Environmental Challenges: A Review

Journal of Sustainable Agriculture and Environment, Volume 4, Issue 4, December 2025.
ABSTRACT This review critically examines recent developments in biosensor technology and explores their potential to address pressing agricultural and environmental challenges. Amid increasing climate variability, biosensors provide field‐deployable diagnostics for proximal ecosystem monitoring, with promising applications in real‐time soil nutrient ...
Riley Lawson, Amy Grunden, Chadi Sayde
wiley   +1 more source

Rethinking Global Soil Degradation: Drivers, Impacts, and Solutions

Reviews of Geophysics, Volume 63, Issue 4, December 2025.
Abstract The increasing threat of soil degradation presents significant challenges to soil health, especially within agroecosystems that are vital for food security, climate regulation, and economic stability. This growing concern arises from intricate interactions between land use practices and climatic conditions, which, if not addressed, could ...
Nima Shokri, David A. Robinson, Mehdi Afshar, Christine Alewell, Milad Aminzadeh, Emmanuel Arthur, Nils Broothaerts, Grant A. Campbell, Lina Eklund, Surya Gupta, Richard Harper, Amirhossein Hassani, Cathy Hohenegger, Thomas Keller, Maximilian Kiener, Inma Lebron, Kaveh Madani, Tshilidzi Marwala, Francis Matthews, Per Moldrup, Attila Nemes, Panos Panagos, Remus Prăvălie, Matthias C. Rillig, Philipp Saggau, Salome M. S. Shokri‐Kuehni, Pete Smith, Amy Thomas, Lis Wollesen de Jonge, Dani Or   +29 more
wiley   +1 more source

Survey on AI Ethics: A Socio‐Technical Perspective

Computational Intelligence, Volume 41, Issue 6, December 2025.
Abstract The past decade has observed a significant advancement in AI, with deep learning‐based models being deployed in diverse scenarios, including safety‐critical applications. As these AI systems become deeply embedded in our societal infrastructure, the repercussions of their decisions and actions have significant consequences, making the ethical ...
Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Kenfack, Samira Ebrahimi Kahou   +5 more
wiley   +1 more source

Hunger Games Search for the elucidation of gravity anomalies with application to geothermal energy investigations and volcanic activity studies

Open Geosciences
Recent metaheuristic approaches are extensively and intensively being implemented to the interpretation of gravity anomalies due to their superior advantages.
Su Kejia, Ai Hanbing, Alvandi Ahmad, Lyu Chuan, Wei Xin, Qin Zhen, Tu Yong, Yan Yongjie, Nie Tao   +8 more
doaj   +1 more source

Hybrid Hunger Games Search optimization using a neural networks approach applied to UAVs

Results in Control and Optimization
Optimization methods like population-based algorithms are valuable when applied to multidimensional and nonlinear problems. Many engineering problems, such as controller parameterization, can be addressed using population-based algorithms since these ...
Nadia Samantha Zuñiga-Peña, Salatiel Garcia-Nava, Norberto Hernandez-Romero, Juan Carlos Seck-Touh-Mora   +3 more
doaj   +1 more source

Hunger games search: a comprehensive review of recent variants and applications

Systems Science & Control Engineering
Hunger Games Search (HGS) is a novel metaheuristic algorithm favoured for its exploration ability and flexibility. Following the PRISMA 2020 guidelines, this study provides a systematic review of 115 articles published from 2022 to 2025.
Haogao Song, Chenyang Li, Lei Liu, Yi Chen, Huiling Chen   +4 more
doaj   +1 more source

The Efficacy of Nutritional Interventions in Reducing Childhood/Youth Aggressive and Antisocial Behavior: A Mixed‐Methods Systematic Review and Meta‐Analysis

Campbell Systematic Reviews, Volume 21, Issue 3, September 2025.
ABSTRACT Aggressive/antisocial behaviors in children and youth may result in impairments in family, social, or academic functioning and lead to long‐term negative consequences for both the individual and society as a whole. The potential of healthy diet and nutritional supplements to reduce aggression and antisocial behavior is an active area of study ...
Barna Konkolÿ Thege, Chaz Robitaille, Lujayn Mahmoud, Eden A. Kinzel, Rameen Qamar, Jamie Hartmann‐Boyce, Olivia Choy   +6 more
wiley   +1 more source

Diet in Pregnancy: A Review of Current Challenges and Recommendations. A British Nutrition Foundation Briefing Paper

Nutrition Bulletin, Volume 50, Issue 3, Page 365-410, September 2025.
ABSTRACT Pregnancy is a crucial period during which maternal nutrition, weight and lifestyle behaviours have a direct impact on both maternal and fetal health. This briefing paper describes dietary and lifestyle recommendations for women during the preconceptional period and throughout pregnancy, identifying specific factors that can be modified to ...
Kathryn H. Hart, Alyson J. Hill, Javier T. Gonzalez, Anne de la Hunty, Alison M. Gallagher, Sara A. Stanner   +5 more
wiley   +1 more source

Shield Thrust Time-Series Prediction Based on BiLSTM with Intelligent Hyperparameter Optimization

Applied Sciences
Shield thrust is a key control parameter for ensuring the safety and efficiency of tunnel construction. Under complex geological conditions and strong data nonlinearity, conventional prediction methods often fail to achieve sufficient accuracy.
Lingbin Yao, Wei Yin, Fanchao Kong, Junqi Wang   +3 more
doaj   +1 more source