Face recognition in dense crowd using deep learning approaches with IP camera by Sobhana Mummaneni, Venkata Chaitanya Satya Ramaraju Mudunuri, Sri Veerabhadra Vikas Bommaganti, Bhavya Vani Kalle, Novaline Jacob, Emmanuel Sanjay Raj Katari

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Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model by Yasaman Sanayei, Naz Chaibakhsh, Ali Chaibakhsh, Ali Reza Pendashteh, Norli Ismail, Tjoon Tow Teng

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…This article presents a reproducible machine learning methodology for the early prediction of Alzheimer’s disease (AD) using clinical and behavioural data. A comparative analysis of multiple classification algorithms was conducted, with the Gradient Boosting classifier yielding the best performance (accuracy: 93.9 %, F1-score: 91.8 %). …”
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Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design by Fatai Olatunde Adunola, Victor Nnamdi Omeke, Ashraf Adam Ahmad, Asharimantun Reuben Bunu, Alfred John Nkohon, Emmanual Obiajulu

“…Abstract This research focuses on designing an Energy-efficient Wireless Sensor Network for monitoring environmental parameters that tracks variables such as temperature, humidity, air quality, and noise levels in real time. …”
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Evaluation of the Genericity of an Adaptive Optimal Control Approach to Optimize Membrane Filtration Systems by Aymen Chaaben, Fatma Ellouze, Nihel Ben Amar, Alain Rapaport, Marc Heran, Jérôme Harmand

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Optimizing Secure and Efficient Data Aggregation in IoMT Using NSGA-II by Maria Zuraiz, Muhammad Javed, Nasim Abbas, Waseem Abbass, Waqas Nawaz, Ashfaq Hussain Farooqi

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Minimum Risk Quantification Method for Equivalent Error Threshold of Wind Farm Based on Bayes Criterion by Qianlong ZHU, Xiaoqiang JIN, Xuli WANG, Fanya SU, Tianbai DENG, Jun TAO

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An intelligent log-seismic integrated stratigraphic correlation method based on wavelet frequency-division transform and dynamic time warping: A case study from the Lasaxing oilfie... by Mian Lu, Dongmei Cai, Xiandi Fu, Shunguo Cheng, Yu Sun, Pengkun Liu, Yanli Jiao

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Clustering of diet and physical activity behaviours in adolescents across home and school area-level deprivation in Cameroon, South Africa, and Jamaica by Yves Wasnyo, Lambed Tatah, Feyisayo A. Wayas, Clarisse Mapa-Tassou, Jian’an Luan, Lisa K. Micklesfield, Joanne A. Smith, Colin Farr, Louise Foley, Estelle V. Lambert, Jean Claude Mbanya, Felix Assah, Tolu Oni

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Energy optimization control of extended-range hybrid combine harvesters based on quasi-cycle power demand estimation by Shuofeng Weng, Chaochun Yuan, Youguo He, Jie Shen, Lizhang Xu, Zhihao Zhu, Qiuye Yu, Xiaowei Yang

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Blockchain-based heterogeneous resource configuration scheme in computing power network by Qiang Gao, Chunyu Liu, Lei Wang, Yiqing Liu, Yueqiang Xu

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Study on the Damage Behavior of Engineered Cementitious Composites: Experiment, Theory, and Numerical Implementation by Tingting Ding, Zhuo Wang, Yang Liu, Xinlong Wang, Tingxin Sun, Shengyou Yang

“…The ever-increasing material performance requirements in modern engineering structures have thrust engineered cementitious composites (ECCs) into the limelight of civil engineering research. The exceptional tensile, bending, and crack-control abilities of ECCs have sparked significant interest. …”
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An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer by Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali

“…This research presents an optimized system for predicting energy usage in smart grids by integrating the Temporal Fusion Transformer (TFT) with the Aquila Optimizer (AO). …”
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Spatial Proximity Relations-Driven Semantic Representation for Geospatial Entity Categories by Yongbin Tan, Hong Wang, Rongfeng Cai, Lingling Gao, Zhonghai Yu, Xin Li

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Some Improvements on Good Lattice Point Sets by Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

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Machine Learning for Earthquake Emergency Evacuation: Site Selection and Neighborhood Navigation by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…This research is first to introduce a machine learning-based method to enhance the quality and speed of selecting emergency evacuation centers in Tehran, optimizing the use of the city’s current capacities. …”
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QoE-Energy Consumption Optimization for End-User Devices in Adaptive Bitrate Video Streaming Using the Lagrange Multiplier Method by Tien Vu Huu, Thao Nguyen Thi Huong

“…According to recent research, the key contributors to greenhouse gas emissions in Internet include high energy consumption factors such as data centers, transmission network devices, and end-user devices. …”
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Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning by Giulio Angiolini, Giovanna Maria Dimitri

“…Despite the growing popularity of organic foods, research on their effects on human health, particularly regarding cancer and diabetes, remains limited. …”
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Evaluation of Automated Spread–F (SF) Detection over the Midlatitude Ionosphere by Krishnendu Sekhar Paul, Trisani Biswas, Haris Haralambous

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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

“…However, the complexity of the environment, the diversity of building shapes, and the interference from speckle noise have made building area segmentation from SAR images a challenging research topic. Compared to traditional methods, deep learning-driven approaches exhibit superiority in the aspect of stability and efficiency. …”
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