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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MMEFU-Net: A Mamba-Guided Multi-Encoder Fusion U-Net for Tumor Segmentation in CT Images by Renzheng Xue, Zifeng Zhang, Yaxin Zhao, Qing Zhang, Minghui Liang

“…The model achieves superior Dice Similarity Coefficients (DSC) and Intersection over Union (IoU) scores while significantly reducing computational costs. Notably, MMEFU-Net improves the DSC by 2.16% compared to nnU-Net on the LiTS2017 dataset, with a <inline-formula> <tex-math notation="LaTeX">$35\times $ </tex-math></inline-formula> reduction in parameters and a <inline-formula> <tex-math notation="LaTeX">$25\times $ </tex-math></inline-formula> reduction in computational complexity. …”
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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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Multi-Scale Attention Fusion Gesture-Recognition Algorithm Based on Strain Sensors by Zhiqiang Zhang, Jun Cai, Xueyu Dai, Hui Xiao

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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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Advancing Cosmological Parameter Estimation and Hubble Parameter Reconstruction with Long Short-term Memory and Efficient Kolmogorov–Arnold Networks by Jiaxing Cui, Marek Biesiada, Ao Liu, Cuihong Wen, Tonghua Liu, Jieci Wang

“…LSTM networks are employed to extract features from observational data, enabling accurate parameter inference and posterior distribution estimation without relying on solvable likelihood functions. …”
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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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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

“…Objectives The objectives of this study were to evaluate the accuracy of morphometry of skull base and palate in gender discrimination using cone beam computed tomography (CBCT) scanning and to assess the accuracy of the results among a sample of the Arab population Materials & Methods Using CBCT scans, a cross-sectional analysis was conducted on 142 consented patients who underwent various dental procedures at the University Dental Hospital, Sharjah (UDHS). …”
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Semiconductor Wafer Defect Recognition Based on Improved Coordinate Attention Mechanism by Hao He, Yuanjie Wei, Xionghao Lin, Minmin Zhu, Haizhong Zhang

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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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MAS-YOLOv11: An Improved Underwater Object Detection Algorithm Based on YOLOv11 by Yang Luo, Aiping Wu, Qingqing Fu

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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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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

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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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MMYFnet: Multi-Modality YOLO Fusion Network for Object Detection in Remote Sensing Images by Huinan Guo, Congying Sun, Jing Zhang, Wuxia Zhang, Nengshuang Zhang

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A Two-Tiered Bidirectional Atrous Spatial Pyramid Pooling-Based Semantic Segmentation Model for Landslide Classification Using Remote Sensing Images by G. NaliniPriya, E. Laxmi Lydia, Reem Alshenaifi, Radhika Kavuri, Mohamad Khairi Ishak

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Eternal-MAML: a meta-learning framework for cross-domain defect recognition by Jipeng Feng, Haigang Zhang, Zhifeng Wang

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Mathematical modeling and simulation of magnetized bioconvective nanoliquid flow capturing Brownian motion, multiple slip, thermophoresis and gyrotactic microorganisms configured b... by Hakim AL Garalleh, Sami Ullah Khan, M. Waqas, Nurnadiah Zamri, Barno Abdullaeva, Manish Gupta

“…Shooting numerical scheme is used to compute the simulations. Physical interpretation and visualization of results is observed in view of parameters. …”
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Data efficient prediction of excited-state properties using quantum neural networks by Manuel Hagelueken, Marco F Huber, Marco Roth

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