Progressive Shrinkage of the Alpine Periglacial Weathering Zone and Its Escalating Disaster Risks in the Gongga Mountains over the Past Four Decades by Qiuyang Zhang, Qiang Zhou, Fenggui Liu, Weidong Ma, Qiong Chen, Bo Wei, Long Li, Zemin Zhi

“…In the upper APWZ, glacier retreat has intensified weathering and increased debris accumulation, while the newly formed vegetation zone in the lower APWZ remains structurally fragile and unstable. …”
Get full text

Sample-Adjusted Threshold Calculation (SATC) for Optimizing Flood Mapping From a Trustworthy and Explainable Perspective by Zhijun Jiao, Biyan Chen, Zhimei Zhang, Lixin Wu

“…The experimental results of applying SATC to various scenarios indicate that these SATC-optimized algorithms achieve a notable 10–30% improvement in accuracy while concurrently reducing false and omission rates to <20% . …”
Get full text

The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…In the context of global aging, it is crucial to investigate the factors contributing to SI. While the role of ADL as a potential biomarker for SI remains unclear, this study aims to provide new evidence supporting ADL as an early predictor of SI through statistical analysis and machine learning validation.MethodsData were derived from the 2018 CHARLS national baseline survey, comprising 10,136 participants aged 45 and above. …”
Get full text

AYOLO: Development of a Real-Time Object Detection Model for the Detection of Secretly Cultivated Plants by Ali Yılmaz, Yüksel Yurtay, Nilüfer Yurtay

Get full text

Ultrawideband Non-Line-of-Sight Classification Using Transformer-Convolutional Neural Networks by Hae-Ji Hwang, Seon-Geun Jeong, Won-Joo Hwang

Get full text

AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management by Luis Rojas, Álvaro Peña, José Garcia

“…The mining industry faces increasing challenges in maintaining high production levels while minimizing unplanned failures and operational costs. …”
Get full text

Dynamic Agricultural Pest Classification Using Enhanced SAO-CNN and Swarm Intelligence Optimization for UAVs by Shiwei Chu, Wenxia Bao

“…The SAO-CNN innovatively combines adaptive convolutional layers, self-supervised learning, and ConvLSTM to optimize spatial-temporal feature extraction, while swarm algorithms (ACO and PSO) enhance UAV path planning and task allocation. …”
Get full text

Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

“…While LTE (4G) networks offer high-speed data transmission, 5G is necessary to meet the growing demands of modern communication. …”
Get full text

Emerging Jordan blocks in the two-dimensional Potts and loop models at generic Q by Lawrence Liu, Jesper Lykke Jacobsen, Hubert Saleur

Get full text

Dynamic parking space allocation at urban scale: Problem formulation and resolution by Hanae Errousso, Jihane El Ouadi, El Arbi Abdellaoui Alaoui, Siham Benhadou

“…In this perspective, we propose two linear integer programming models for assigning parking spaces to all road users (private vehicles and carriers) while maximizing parking occupancy. The first combinatorial problem attributes to each driver only one parking space while the second one assigns two parking spaces if no space is suitable for that motorist. …”
Get full text

Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

“…The content of 0–0.075 mm GS and 0.075–0.15 mm GS has a significant positive effect on yield stress, plastic viscosity, and UCS, while showing a negative effect on fluidity. Nevertheless, the impact of water content exhibits a contrasting outcome. …”
Get full text

Pricing principles in the field of ready–made meal delivery: analysis of influence factors by K. V. Martynov

“…The study describes the most popular pricing principles: cost–based, competitor–oriented, as well as dynamic algorithms taking into account seasonal demand. The results reflecting the willingness of customers to pay extra while observing short delivery times and maintaining product quality are studied. …”
Get full text

Fault Detection in MV Switchgears Through Unsupervised Learning of Temperature Conditions by Grazia Iadarola, Alessandro Mingotti, Virginia Negri, Susanna Spinsante

Get full text

A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…The proposed MUGuard algorithm is at the framework’s core, which dynamically adjusts computational complexity based on real-time actual energy constraints and the evolving threat landscape. …”
Get full text

Enhancing Autonomous Truck Navigation in Underground Mines: A Review of 3D Object Detection Systems, Challenges, and Future Trends by Ellen Essien, Samuel Frimpong

“…It assesses deep learning algorithms, fusion techniques, multi-modal sensor suites, and limited datasets in an underground detection system. …”
Get full text

Concept of a Cyber–Physical System for Control of a Self-Cleaning Aquaponic Unit by Kristiyan Dimitrov, Nayden Chivarov, Stefan Chivarov, Tsvetelina Paunova-Krasteva, Emil Filipov, Albena Daskalova

Get full text

Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review by Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang

Get full text

Reconceptualizing Gatekeeping in the Age of Artificial Intelligence: A Theoretical Exploration of Artificial Intelligence-Driven News Curation and Automated Journalism by Dan Valeriu Voinea

“…Moreover, adaptive algorithms learn from user behavior, creating feedback loops that dynamically shape news diversity and bias over time. …”
Get full text

Integrating agent‐based models into the ensemble ecosystem modelling framework: A rewilding case study at the Knepp Estate, UK by Emily Neil, Ernesto Carrella, Richard Bailey

Get full text

Optimizing Fractional-Order Convolutional Neural Networks for Groove Classification in Music Using Differential Evolution by Jiangang Chen, Pei Su, Daxin Li, Junbo Han, Gaoquan Zhou, Donghui Tang

“…Groove, an essential element in music perception, is typically influenced by rhythmic patterns and acoustic features. While FOCNNs offer a promising method for capturing these subtleties through fractional-order derivatives, they face challenges in efficiently converging to optimal parameters. …”
Get full text