An intelligent partial charging navigation strategy for electric vehicles by Jinsheng Xiao, Bang Sun, Xun Gao, Hua Yang, Liyuan Wang

“…Traditional studies on electric vehicle route planning oversimplify the charging process, assuming a linear relationship between charging level and time, neglecting its actual nonlinear nature. …”
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Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power by Yahya Z. Alharthi, Haruna Chiroma, Lubna A. Gabralla

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Prediction of Degradation of Concrete Surface Layer Using Neural Networks Applied to Ultrasound Propagation Signals by Evgenia Kirillova, Alexey Tatarinov, Savva Kovalenko, Genadijs Shahmenko

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An Energy-Efficient Clustering Routing Protocol Based on Evolutionary Game Theory in Wireless Sensor Networks by Deyu Lin, Quan Wang, Deqin Lin, Yong Deng

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Colony Binary Classification Based on Persistent Homology Feature Extraction and Improved EfficientNet by Zumin Wang, Ke Yang, Jie Tang, Jun Gao, Yuhao Zhang, Wei Xu, Chun-Ming Huang

“…However, due to the ambiguous features of early-stage colony images in culture dishes, conventional computer vision (CV) classification algorithms are often ineffective. …”
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A Comprehensive Analysis and Detection Methodology Using Near-Infrared (NIR) Spectroscopy to Unveil the Deceptive Practice of Milk Adulteration by Geetika Porwal, Kusumlata Jain, Smaranika Mohapatra, Veena Dhayal, Ishita Chopra

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Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

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ANN-Based Control of a Multiboat Group for the Deployment of an Underwater Sensor Network by Emmanouel T. Michailidis, Gurkan Tuna, Gülsüm Gezer, Stelios M. Potirakis, Kayhan Gulez

“…A map of the deployment zone and optimal locations of USN nodes are fed into the onboard computers of the boat group. After processing these data and determining paths to be followed, the boat group deploys sensor nodes at predetermined locations. …”
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BiAttentionNet: a dual-branch automatic driving image segmentation network integrating spatial and channel attention mechanisms by Ruijun Liu, Yijun Zhang, Jieying Chen, Zhigang Wu, Yaohui Zhu, Jun Liu, Min Chen

“…Abstract Real-time semantic segmentation is one of the most researched areas in the field of computer vision, and research on dual-branch networks has gradually become a popular direction in network architecture research. …”
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PSO-optimised autoencoder for fault prediction in wind turbine planet carrier bearing by Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, Nkosinathi Madushele

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Optimizing the Production of LNG and NGL from Arab Crudes and Wet Gases by Adel M. Hemeida, Mohammed S. Al-Blehed, Saad El-Din Desouky

“…The mathematical formulation of the computation techniques used in each section are given along with all the equation derivations.…”
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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…Computer-aided diagnosis (CAD) systems, which combine medical image processing with artificial intelligence (AI) to support experts in diagnosing various diseases, emerged from the need to solve some of the problems associated with medical diagnosis, such as long timelines and operator-related variability. …”
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Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

“…Medical image denoising is particularly important in brain image processing. Noise in acquisition and transmission degrades image quality and affects the reliability of diagnosis and research. …”
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Parametric Optimization of Train Brake Pad Using Reverse Engineering with Digital Photogrammetry 3D Modeling Method by P Paryanto, Muhammad Faizin, R Rusnaldy

“…This was followed by processing 2D images using Agisoft Metashape 2.2.1 software and Artificial Intelligence (AI) algorithms to create a precise 3D model. …”
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Simulation of Mosul Dam Break Using Finite Volume Method by Ayhan H. Saleem, Jowhar R. Mohammad

“…The dam is built on a rock bed foundation, in which the dissolution process is dynamic in the zone where gypsum and anhydrite layers present. …”
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A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System by Mohamed Amjath, Laoucine Kerbache, James MacGregor Smith

“…<i>Methods:</i> The material transfer process is modelled using a closed queueing network (CQN) that considers heterogeneous nodes and customised service times tailored to the unique characteristics of various truck types and their transported materials. …”
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Coordinated management of electricity storages and distributed generation plant with predictive controllers in a power supply system with reduced electricity quality by Yu. N. Bulatov, A. N. Kryukov, K. V. Suslov, V. V. Kizhin

“…For example, the transient time for the generator rotor speed in the mode of connecting an additional load is reduced by three times, and for voltage - by two times.CONCLUSION. Based on computer modeling, it is shown that coordinated control of electricity storage devices and a turbogenerator with predictive regulators reduces the amount of rotor speed overshoot to almost zero and reduces the transient process time by almost 90%. …”
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Modeling complex systems in animal science: A pedagogical framework for new researchers by Luis Orlindo Tedeschi, Dan Tulpan, Hector M. Menendez III, Ricardo Augusto Mendonça Vieira

“…ABSTRACT Mathematical modeling is a systematic process that involves identifying key variables and understanding how they interact. …”
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Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126. by Daniel Sher, Emma E George, Matthias Wietz, Scott Gifford, Luca Zoccarato, Osnat Weissberg, Coco Koedooder, Waseem Bashir Valiya Kalladi, Marcelo M Barreto Filho, Raul Mireles, Stas Malavin, Michal Liddor Naim, Tal Idan, Vibhaw Shrivastava, Lynne Itelson, Dagan Sade, Alhan Abu Hamoud, Yara Soussan-Farhat, Noga Barak, Peter Karp, Lisa R Moore

“…Inferring the metabolic capabilities of an organism from its genome is a challenging process, relying on computationally-derived or manually curated metabolic networks. …”
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Predictive Deep Learning for High‐Dimensional Inverse Modeling of Hydraulic Tomography in Gaussian and Non‐Gaussian Fields by Quan Guo, Ming Liu, Jian Luo

“…Abstract Inverse modeling of hydraulic tomography (HT) is computationally expensive for estimating high‐dimensional hydrogeologic parameter fields. …”
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