Machine Learning Strategy to Achieve Maximum Energy Harvesting and Monitoring Method for Solar Photovoltaic Panel Applications by Bibhu Prasad Ganthia, Sudheer Hanumanthakari, Hemachandra Gudimindla, Harishchander Anandaram, M. Siva Ramkumar, Monalisa Mohanty, S. Raja Gopal, Atul Sarojwal, Kibrom Menasbo Hadish

“…Because PCMs are isothermal in nature, they provide better density energy storage and the capacity to function across a wide temperature range. Unfortunately, this feature is very rare on various solar power panels; however, ignoring it can reduce the performance of the panels to unacceptable levels. …”
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Cross-attention multi branch for Vietnamese sign language recognition: CrossViViT by Minh Hoang Chu, Hoang Diep Nguyen, Thi Ngoc Anh Nguyen, Hoai Nam Vu

“…The proposed model demonstrates exceptional performance on the Vietnamese Sign Language (VSL) dataset, achieving 92.47% accuracy in recognizing 50 distinct gestures across 8510 videos while maintaining computational efficiency at approximately 629 FLOPS.…”
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An advanced method for surface damage detection of concrete structures in low-light environments based on image enhancement and object detection networks by Tianyong Jiang, Lin Liu, Chunjun Hu, Lingyun Li, Jianhua Zheng

“…Specifically, we employ the self-calibrated illumination (SCI) model to reconstruct low-light images, which are then processed by an improved YOLOv5-based network, YOLOv5-GAM-ASFF, incorporating a global attention mechanism (GAM) and adaptive spatial feature fusion (ASFF). …”
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A Benchmark Dataset and a Framework for Urdu Multimodal Named Entity Recognition by Hussain Ahmad, Qingyang Zeng, Jing Wan

“…Our model achieves state-of-the-art performance on the Twitter2015-Urdu dataset, laying the groundwork for further MNER research in low-resource languages.…”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…Anomaly-based automated detection stands out due to its superior performance among the various detection techniques. …”
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A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses by Zixuan Zhou, Lihua Li, Hao Xue, Yuchen Jia, Yao Yu, Zongkui Xie, Yuhan Gu

“…The YOLOv10-BCE panting behavior detection model was developed by embedding the BiFormer module into the backbone network to enhance multi-dimensional feature extraction, compressing neck structure parameters using the C3Ghost module, and integrating Efficient Intersection over Union (EIOU) loss to improve detection accuracy and convergence speed. …”
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SOC Estimation of Lithium-Ion Batteries Utilizing EIS Technology with SHAP–ASO–LightGBM by Panpan Hu, Chun Yin Li, Chi Chung Lee

“…EIS data collected at various SOC levels and temperatures were processed using SHAP for feature extraction (FE), and the ASO–LightGBM model was employed for SOC prediction. …”
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Research on improving the ranging accuracy of ships with stereo vision through Kalman filter optimization. by Zhongbo Peng, Jie Han, Liang Tong, Lumeng Wang, Dan Liu, Shijie Sun

“…In the ship detection stage, addressing challenges such as large parameters, high computational complexity, and poor real-time performance in existing ship detection models, this paper proposes the MS-YOLOv5s ship target detection algorithm. …”
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Advancements in Parkinson’s Disease Diagnosis: A Comprehensive Survey on Biomarker Integration and Machine Learning by Ruchira Pratihar, Ravi Sankar

“…It presents a comprehensive evaluation of the use of diverse biomarkers for diagnosing Parkinson’s disease (PD) across various datasets, utilizing machine learning models. Recent research findings are summarized in tables, showcasing key methodologies such as data preprocessing, feature selection, and classification techniques. …”
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Skincare Recommendation System Based on Facial Skin Type with Real-Time Weather Integration by Gabrielle Sheila Sylvagno, Theresia Herlina Rochadiani

“…The dataset exhibits diversity in skin types, allowing for a more valid evaluation of the CNN model. The training and testing process involved splitting the data into training and testing sets, with augmentation applied to the training data to enhance the feature diversity across classes. …”
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Extraction of geothermal fluids from enhanced geothermal systems: optimization of a gas lift sparger by Ansan Pokharel, Terence Musho

“…Using a validated numerical pressure gradient model, 15 different 3D-printed gas sparger designs were tested through over 100 scaled experiments. …”
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Research on Microscale Vehicle Logo Detection Based on Real-Time DEtection TRansformer (RT-DETR) by Meiting Jin, Junxing Zhang

“…Our lightweight network significantly improves real-time detection performance while maintaining high accuracy in vehicle logo detection.…”
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Target Tracking Algorithm Based on Adaptive Scale Detection Learning by Dawei Yang

“…In this paper, to better solve the problem of low tracking accuracy caused by the sudden change of target scale, we design and propose an adaptive scale mutation tracking algorithm using a deep learning network to detect the target first and then track it using the kernel correlation filtering method and verify the effectiveness of the model through experiments. The improvement point of this paper is to change the traditional kernel correlation filtering algorithm to detect and track at the same time and to combine deep learning with traditional kernel correlation filtering tracking to apply in the process of target tracking; the addition of deep learning network not only can learn more accurate feature representation but also can more effectively cope with the low resolution of video sequences, so that the algorithm in the case of scale mutation achieves more accurate target tracking in the case of scale mutation. …”
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Quality assessment of chicken using machine learning and electronic nose by Hassan Anwar, Talha Anwar

“…Data was collected from chicken samples over a period of 15 days. To evaluate the performance of the machine learning algorithms, different data splitting approaches were tested to understand their impact on model accuracy. …”
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Enhancing Software Quality with AI: A Transformer-Based Approach for Code Smell Detection by Israr Ali, Syed Sajjad Hussain Rizvi, Syed Hasan Adil

“…Software quality assurance is a critical aspect of software engineering, directly impacting maintainability, extensibility, and overall system performance. Traditional machine-learning techniques, such as gradient boosting and support vector machines (SVM), have demonstrated effectiveness in code smell detection but require extensive feature engineering and struggle to capture intricate semantic dependencies in software structures. …”
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Classification of melanoma skin Cancer based on Image Data Set using different neural networks by Rukhsar Sabir, Tahir Mehmood

“…Additionally, we aim to demonstrate their effectiveness in contributing to the critical task of saving lives through early and accurate melanoma diagnosis.Our methodology involves a multi-stage process, which includes image normalization and augmentation, followed by segmentation, feature extraction, and classification. Notably, the neural network models underwent rigorous evaluation, with EfficientNet-B0 exhibiting exceptional performance as the winning model. …”
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Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference. by Frixos Papadopoulos, Tilman Sanchez-Elsner, Mahesan Niranjan, Ashley I Heinson

“…Recently, studies have utilised mathematical ideas from natural language processing and self-supervised learning, to derive features based on protein sequence information. In the area of language modelling, it has been shown that learnt representations from self-supervised pre-training can capture the semantic information of words well for downstream applications. …”
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Exploring housing price dynamics in sustainable cities through a cooperated big data driven machine learning method: case study on a typical city in China by Feng Han, Meiqu Lu, Donghong Qin, Guitao Zheng, Guihong Zeng, Yan Tan, Zhongyang Wu, Haijian Lu, Jun Wang, Yirong Deng, Hui He

“…A comprehensive dataset of 2,508 residential communities in South China was compiled using web-crawled property attributes and GIS-derived geospatial indicators. The RF model achieved a robust performance, with an average training R2 of 0.965 and testing R2 of 0.742. …”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…LightGBM performed best in identifying high and extremely high susceptibility areas, with landslide and collapse point density ratios of 1.844 and 3.079, respectively, the highest among all models evaluated. …”
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AMamNet: Attention-Enhanced Mamba Network for Hyperspectral Remote Sensing Image Classification by Chunjiang Liu, Feng Wang, Qinglei Jia, Li Liu, Tianxiang Zhang

“…Recent advancements in state space models (SSMs) have demonstrated their superiority in linear modeling compared to convolution and transformer-based approaches. …”
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