Machine learning model for random forest acute oral toxicity prediction by A.M. Elsayad, M.M. Zeghid, K.A. Elsayad, A.N. Khan, ِA.K.M. Baareh, A. Sadiq, S.A. Mukhtar, H.F. Ali, S. Abd El-kader

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Entropy generation assessment in radiative rheological nanomaterial beyond conventional approach of heat and mass fluxes by T. Hayat, Aqsa Razzaq, Sajjad Shaukat Jamal, Aneeta Razaq, Sohail A. Khan

“…Results: Flow, temperature, entropy rate, and concentration are deliberated. Physical features of thermal transport rate and Sherwood number for influential parameters are examined. …”
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YOLOv8n-GBE: A Hybrid YOLOv8n Model With Ghost Convolutions and BiFPN-ECA Attention for Solar PV Defect Localization by Likitha Reddy Yeddula, Archana Pallakonda, Rayappa David Amar Raj, Rama Muni Reddy Yanamala, K. Krishna Prakasha, Mallempati Sunil Kumar

“…The proposed approach combines a BiFPN based neck, Ghost Bottlenecks, and Efficient Channel Attention (ECA) to improve multi scale representation, decrease redundant computation, and increase feature extraction. The model performs better in terms of detection accuracy and efficiency, as shown by experimental findings on three benchmark datasets: PVEL-AD, PV-Multi-Defect, Solar Panel Anomalies. …”
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MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation by Muna Khalaf, Ban N. Dhannoon

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Dual-verification-based model fingerprints against ambiguity attacks by Boyao Zhao, Haozhe Chen, Jie Zhang, Weiming Zhang, Nenghai Yu

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Studying behavior of the asymptotic solutions to P-Laplacian type diffusion-convection model by Habeeb Aal-Rkhais, Ruba Qasim

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LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG by Jing Li, Xiangwei Jia, Xinghan Chen, Gongfa Li, Gaoxiang Ouyang

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FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention by A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee

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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

“…Three typical tracking algorithms were used to construct the raw tractography, and two popular fiber filtering methods(SIFT and SIFT2) were employed to filter the tractography across a range of parameters. Laterality indices were computed for six popular biological features, including four microstructural measures (AD, FA, RD, and T1/T2 ratio) and two structural features (fiber length and connectivity) for each brain region. …”
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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

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Frequency Regulation of Interconnected Power System Using Black Widow Optimization by Preeti Dahiya, Akshay Kumar Saha

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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

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Dynamic Assessment of Vibration of Tooth Modification Gearbox Using Grey Bootstrap Method by Hui-liang Wang, Xiao-zhong Deng, Ju-bo Li, Jian-jun Yang

“…The method characterized vibration base feature of tooth modification gearbox by developing dynamic uncertainty, estimated true value, and systematic error measure, and these parameters could indirectly dynamically evaluate the effect of tooth modification. …”
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Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning by Zhengkai Xue, Shijia Geng, Shaohua Guo, Guanyu Mu, Bo Yu, Peng Wang, Sutao Hu, Deyun Zhang, Weilun Xu, Yanhong Liu, Lei Yang, Huayue Tao, Shenda Hong, Kangyin Chen

“…By employing transfer learning techniques, we can extract “deep features” that summarize the inherent information of ECGs with relatively low computational expense.…”
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Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…This paper proposes a novel and robust version of Model Predictive Control scheme for AC drives based on Voltage Source Inverter (VSI) with Active Front End (AFE). The main feature of the proposed MPC is elimination of Common Mode Voltage (CMV) without imposing a penalty on the corresponding term in the cost function, but rather by a smart utilisation of the restricted set of switching states in a computationally efficient algorithm. …”
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Mapping Nationwide Subfield Division Dynamics in Saudi Arabia Using Temporal Patterns of Sentinel-2 NDVI and Machine Learning by Ting Li, Oliver Miguel Lopez Valencia, Matthew F. McCabe

“…A machine learning-based approach combining Kmeans clustering and cosine similarity was developed to quantify subfield divisions using temporal features derived from Sentinel-2 normalized difference vegetation index (NDVI) time series. …”
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Cross-Domain Carotid Artery Segmentation Using Folding Fan ResNet and Quadratic Mapping Loss by Zhaozheng Chen, Zhiyin Liu, Bernard Chiu

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Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion by Siming Deng, Jiale Zhu, Yang Hu, Mingfang He, Yonglin Xia

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Hybridization of deep learning models with crested porcupine optimizer algorithm-based cybersecurity detection on industrial IoT for smart city environments by Sarah A. Alzakari, Mohammed Aljebreen, Mashael M. Asiri, Wahida MANSOURI, Sultan Alahmari, Mohammed Alqahtani, Shaymaa Sorour, Wafi Bedewi

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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…IntroductionDue to the limited computing power and fast flight speed of the picking of unmanned aerial vehicles (UAVs), it is important to design a quick and accurate detecting algorithm to obtain the fruit position.MethodsThis paper proposes a lightweight deep learning algorithm, named YOLOv8s-Longan, to improve the detection accuracy and reduce the number of model parameters for fruitpicking UAVs. …”
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