Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework by Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, Tapan Kumar Das

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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…The model is deployed on an OrangePi5 Plus edge computing board. Compared with the baseline model, the maximum ice-thickness detection error is 4.2%, the model parameters are reduced by 86.1%, and the detection speed is increased by 74.6%. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Second, the Lightweight Spatial Pyramid Pooling Fast (LSPPF) structure is designed to enhance multiscale feature extraction while accelerating computational speed. …”
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Prostate-specific antigen and prostate-specific antigen kinetics in predicting 18F-sodium fluoride positron emission tomography-computed tomography positivity forfirst bone metasta... by James Yoon, Leslie Ballas, Bhushan Desai, Hossein Jadvar

“…Records were reviewed to obtain data on PSA levels and kinetics at the time of 18F-NaF PET-CT and pathologic features of the prostatectomy specimen, which were then used for receiver operating characteristic (ROC) analysis to determine predictability for 18F-NaF PET positivity. …”
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Basrah Score: a novel machine learning-based score for differentiating iron deficiency anemia and beta thalassemia trait using RBC indices by Salma A. Mahmood, Asaad A. Khalaf, Saad S. Hamadi

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Significance of the Lesion–Pleura Relationship in Differentiating Peripheral Inflammatory Lesions and Lung Cancers by Tao Y, Zhang WT, Ding C, Fu BJ, Lv FJ, Chu ZG

“…Additionally, the lesion–pleura relationship was one of independent indicators for differentiation (odds ratio, 9.433; P < 0.001).Conclusion: When differentiating peripheral lesions (≥ 1.5 cm), it is crucial to consider the basement-to-pleura and lesion-pleura distance besides patients’ clinical characteristics, laboratory parameters and morphological features.Keywords: lung neoplasms, diagnosis, differential, tomography, X-ray computed…”
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Comparative Studies of Descriptor-Based Image Matching Techniques for AAV Applications by Tomasz Pogorzelski, Teresa Zielinska

“…This article presents the results of comparative studies of typical image feature-matching algorithms. Pre-processed images recorded during flights and satellite orthophotomaps are used for these studies. …”
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Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm by Chen Yu, Ying Liu, Linhan Li, Guangpeng Zhou, Boshi Dang, Jie Du, Junlin Ma, Site Zhang

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Bridging Neuroscience and Machine Learning: A Gender-Based Electroencephalogram Framework for Guilt Emotion Identification by Saima Raza Zaidi, Najeed Ahmed Khan, Muhammad Abul Hasan

“…In the second approach, data were divided into Alpha, Beta, Gamma, Theta and Delta frequency bands using Discrete Wavelet Decomposition. Afterward, the computed features, including entropy, Hjorth parameters and Band Power, were fed to SVM classifiers. …”
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Very high frequency radio receiver preselector design by E. V. Gurov, S. U. Uvaysov, V. V. Chernoverskaya, R. M. Uvaysov

“…This is true even if short lines with a length of about 5 mm are used at frequencies of about 100 MHz. These features must be taken into account for RF network design. …”
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FRPNet: A Lightweight Multi-Altitude Field Rice Panicle Detection and Counting Network Based on Unmanned Aerial Vehicle Images by Yuheng Guo, Wei Zhan, Zhiliang Zhang, Yu Zhang, Hongshen Guo

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Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset by Walaa Othman, Batol Hamoud, Nikolay Shilov, Alexey Kashevnik

“…For validation purposes, the approach was applied to a dataset, “Human Fatigue Assessment Based on Video Data” (HFAVD) integrating video data with features computed by using our computer vision deep learning models. …”
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High-Performance and Lightweight AI Model with Integrated Self-Attention Layers for Soybean Pod Number Estimation by Qian Huang

“…However, existing AI models are computationally demanding and require significant processing resources (e.g., memory). …”
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling by Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li

“…To address the surging number of parameters, a meticulously designed parameter sharing mechanism is employed, featuring fine-grained processing in the central region of the convolutional kernel and wide-ranging parameter sharing in the periphery. …”
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Grade 3 metastatic neuroendocrine neoplasms of two unusual primary sites with contrasting differentiation characteristics: Dual tracer positron emission tomography and computed tom... by Sarvesh Loharkar, Sandip Basu

“…The correlates of dual tracer positron emission tomography and computed tomography (PET-CT) (18F-fluorodeoxyglucose [18F-FDG] and 68Ga-DOTATATE) in patients of Grade 3 neuroendocrine neoplasms (NENs) are presented. …”
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Morphometric analysis of the skull base and palatal regions for gender identification using CBCT: a retrospective study by Asmaa Uthman, Hesham Marei, Walid Elsayed, Sura F. Al-Bayati, Hawraa Shams Aldeen, Shishir Shetty, Musab Hamed Saeed, Natheer H. Al-Rawi

“…Significance of study Accurate gender identification is crucial in forensic investigations, and the skull base region, being a stable and sexually dimorphic anatomical feature, can serve as a reliable marker for this purpose.…”
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Application of photon-counting CT in cardiovascular diseases by WANG Mengzhen, BAO Shouyu, LIU Peng, YAN Fuhua, YANG Wenjie

“…Photon-counting computed tomography （PCCT） is a revolutionary technological breakthrough in CT imaging over the past decade. …”
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LKD-YOLOv8: A Lightweight Knowledge Distillation-Based Method for Infrared Object Detection by Xiancheng Cao, Yueli Hu, Haikun Zhang

“…Nonetheless, the limited computational power of edge devices presents a considerable challenge in achieving an optimal balance between accuracy and computational efficiency in infrared object detection. …”
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Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

“…With large number of features, computation overhead on the devices increases, causing edge devices to become stragglers. …”
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Enhanced lightweight infrared object detection algorithm for assistive navigation in visually impaired individuals by Zhimin Bai, Yang Yang, Jian Wang, Zhengyang Li, Jiajun Wang, Chunxin Liu

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