Low-light image enhancement method for underground mines based on an improved Zero-DCE model by WANG Yiwei, LI Xiaoyu, WENG Zhi, BAI Fengshan

“…An Asymmetric Convolution Block (ACB) was incorporated into the shallow network to optimize the model's learning of local image features and its ability to represent fine details. …”
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Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF by Fulin SONG, Hong ZHAO, Xingyuan MIAO

“…The Gini coefficients in the Random Forest algorithm were used to evaluate the importance of all features in the new characteristic space through calculations. …”
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Triplane generator-based NeRF-GAN framework for single-view ship reconstruction by Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu

“…Subsequently, a novel generator and mask module are engineered to produce optimized feature outputs. Plus, discriminator and encoder networks, coupled with a tailored loss function, are formulated to direct model optimization. …”
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A Multicomponent Face Verification and Identification System by Athanasios Douklias, Ioannis Zorzos, Evangelos Maltezos, Vasilis Nousis, Spyridon Nektarios Bolierakis, Lazaros Karagiannidis, Eleftherios Ouzounoglou, Angelos Amditis

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High-isolation quad-port mmWave MIMO antenna with hybrid decoupling structure for V2V applications by Praveen Kumar, G.D. Goutham Simha

“…This work presents the design and performance evaluation of a quad-port compact millimeter wave (mmWave) MIMO antenna with integrated isolation and diversity enhancement features using a hybrid decoupling structure for Vehicle-to-Vehicle (V2V) communication in 5G and beyond applications. …”
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Mental Disorder Assessment in IoT-Enabled WBAN Systems with Dimensionality Reduction and Deep Learning by Damilola Olatinwo, Adnan Abu-Mahfouz, Hermanus Myburgh

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Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models by Bingbing Tang, Jie Hu, Mei Yang, Chenglong Zhang, Qiang Bai

“…To address this issue, this paper introduces a hybrid load forecasting model that integrates the Long Short-Term Memory Network (LSTM) with the Stochastic Configuration Network (SCN). …”
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Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data by Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem

“…This study presents a comparative analysis of three advanced time‐series models like temporal convolutional networks (TCN), bidirectional long short‐term memory (BiLSTM), and gated recurrent units (GRU) for fault classification. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…By addressing issues related to mechanical property variation, dataset coverage, and model evaluation, the study achieved high prediction accuracy across all nine models. …”
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Tillage and biomass detection for estimating winter-time cropland management practices with satellite remote sensing by Maria Yli-Heikkilä, Arto Klami, Samantha Wittke, Markku Luotamo, Pinja Mero, Petri Pellikka, Janne Heiskanen, Mwaba Hiltunen, Kari Luojus, Golda Prakasam, Mikko Strahlendorff, Markus Törmä, Mi Sulkava

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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…<p>Statistical methods employed in evaluating the quality of service (performance) of mobile broadband (MBB) networks face drawbacks relating to the accurate and reliable processing of the huge amounts of heterogenous real time traffic data generated from MBB networks. …”
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Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing by Xi Cheng, Jieyu Yang, Zhiyong Han, Guozhong Shi, Deng Pan, Likang Meng, Zhuojun Zeng, Zhanfeng Shen

“…The Pointer Network, augmented with reinforcement learning, executed a traveling salesman analysis on these chosen WCSs, yielding the optimal collection trajectory. …”
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Siberia and the Far East in the Project “The Map of Bookstores in Russia” by O. N. Alshevskaya, S. Yu. Zorina, A. V. Bezumatova

“…The activities of leading enterprises operating in the region for many years and recently opened bookstores are evaluated. The all-Russian trends and regional features of the development of the bookselling infrastructure are determined. …”
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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…Next, a generative adversarial network was integrated into the PointNet++ to capture more complex and detailed point cloud features. …”
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Fault diagnosis methods for imbalanced samples of hydraulic pumps based on DA-DCGAN by Yang Zhao, Anqi Jiang, Wanlu Jiang, Peiyao Zhang, Peng Xiong

“…The expanded dataset is then used to train two classifiers, CNN and DA-CNN, to evaluate their ability to capture minority class fault features. …”
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A U-Shaped Architecture Based on Hybrid CNN and Mamba for Medical Image Segmentation by Xiaoxuan Ma, Yingao Du, Dong Sui

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Deep learning with attention modules and residual transformations improves hepatocellular carcinoma (HCC) differentiation using multiphase CT by Yuenan Wang, Wanwei Jian, Zhidong Yuan, Fada Guan, David Carlson

“…Attention modules facilitate concentrating on salient features and suppressing redundancies, while residual transformations can reuse relevant features. …”
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Review of Watershed Hydrology and Mathematical Models by Shiblu Sarker, Olkeba Tolessa Leta

“…The study presents a thorough review of the primary transport mechanisms of water within a watershed, particularly the river network, and examines its physical and stochastic characteristics. …”
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A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories by Ahmed M. Abd El-Haleem, Mohab Mohammed Eid, Mahmoud M. Elmesalawy, Hadeer A. Hassan Hosny

“…Using mouse dynamics fetching, the system extracts features and evaluates them to determine if the student has built the experiment steps in the right way or not. …”
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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

“…In this context, we propose an hybrid deep learning model through the use of convolutional neural network to enhance bankruptcy forecasting models. …”
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