Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

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Combined Oriented Data Augmentation Method for Brain MRI Images by Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

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Improved insulator location and defect detection method based on GhostNet and YOLOv5s networks by Jianjun Huang, Xuhong Huang, Ronghao Kang, Zhihong Chen, Junhan Peng

“…The experimental results show that the parameter number, computation amount, and model size of the GhostNet-YOLOv5s model are reduced by 40%, 25%, and 36%, respectively, compared with the unimproved YOLOv5s model. …”
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A novel knowledge distillation framework for enhancing small object detection in blurry environments with unmanned aerial vehicle-assisted images by Sayed Jobaer, Xue-song Tang, Yihong Zhang, Gaojian Li, Foysal Ahmed

“…Using image deblurring before object detection is an option, but it demands significant computing power and relies heavily on the accuracy of the deblurring algorithms. …”
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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

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Optimizing Secure AI Lifecycle Model Management With Innovative Generative AI Strategies by Alaa Omran Almagrabi, Rafiq Ahmad Khan

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Real time forecasting in the coastal zone: Stream power in the lower Mississippi River by Laura Manuel, Ehab Meselhe, Kelin Hu, Arnejan van Loenen, Thies Blokhuijsen, Md Nazmul Azim Beg

“…Study focus: Advances in hydrologic forecasting are swiftly progressing due to advances in computing technology, modeling techniques, and data availability. …”
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Oxygen vacancy-controlled forming-free bipolar resistive switching in Er-doped ZnO memristor by Akendra Singh Chabungbam, Dong-eun Kim, Yue Wang, Kyung-Mun Kang, Minjae Kim, Hyung-Ho Park

“…Zinc oxide (ZnO) is widely employed for multifunctional applications, including memristors, and has garnered substantial interest for its potential applications in next-generation integrated memory and neuromorphic computing. However, previous ZnO based memristor device studies have shown unsatisfactory performance, due to the large number of defects and low crystallinity in ZnO films deposited through several methods. …”
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Evidence of Exponential Speed-Up in the Solution of Hard Optimization Problems by Fabio L. Traversa, Pietro Cicotti, Forrest Sheldon, Massimiliano Di Ventra

“…However, despite numerous research efforts, in many cases even approximations to the optimal solution are hard to find, as the computational time for further refining a candidate solution also grows exponentially with input size. …”
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Machine Learning  Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka by Piyal Ekanayake, Windhya Rankothge, Rukmal Weliwatta, Jeevani W. Jayasinghe

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A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework by Zhenbo Lu, Wei Zhou, Shixiang Zhang, Chen Wang

“…In this paper, a feature fusion-based deep learning framework was developed for video-based urban traffic crash detection task, aiming at achieving a balance between detection speed and accuracy with limited computing resource. In this framework, a residual neural network (ResNet) combined with attention modules was proposed to extract crash-related appearance features from urban traffic videos (i.e., a crash appearance feature extractor), which were further fed to a spatiotemporal feature fusion model, Conv-LSTM (Convolutional Long Short-Term Memory), to simultaneously capture appearance (static) and motion (dynamic) crash features. …”
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The adoption of telemedicine by healthcare practitioners in South Africa by Margaret Cullen, Andre Calitz, Sasha Boucher, Prashna Buddan

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GENERAL EQUATION OF THE HYDRAULIC FRICTION LAW FOR HINDERED FALLING OF AN INDIVIDUAL BALL AND FLUID MOTION IN GRANULAR LAYERS by M. V. Krautsov, A. M. Krautsov

“…A new general calculating formula incipiency provides a possibility for technological computations realization under any operational mode. …”
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Using Gap Visualization to Navigate Multivariate Metabarcode Data, Select Primer Pairs, and Enhance Reference Data Quality by Xin‐Yi Chua, Louise Ord, Stephen J. Bent, David Lovell, Annette McGrath

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Optimizing the Electrical Interface for Large-Scale Color-Center Quantum Processors by Luc Enthoven, Masoud Babaie, Fabio Sebastiano

“…Quantum processors based on color centers in diamond are promising candidates for future large-scale quantum computers thanks to their flexible optical interface, (relatively) high operating temperature, and high-fidelity operation. …”
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Environmental Supply Chain Performance Mapping of an Enterprise by Exploring a Novel Vague-Intellectual Approach by Juan Wang, M. Prabhu, Abatihun Alehegn Sewagegn, Anoop Kumar Sahu

“…The authors found as first RG that there are still no mathematical models that could address the generalized trapezoidal fuzzy set (GTFs) based green supply chain performance measurement (GSCPM) multi-level hierarchical index for computing the performance of a production enterprise in % except in the forms of GTF set/scale/crisp value. …”
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Exploration of Muscle Fatigue Effects in Bioinspired Robot Learning from sEMG Signals by Ning Wang, Yang Xu, Hongbin Ma, Xiaofeng Liu

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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…We propose and discuss some non-trivial software design choices and implementation strategies that are needed to match the specific computational and memory access needs of MOT strategies, and the architectural opportunities of NVIDIA embedded GPGPU systems. …”
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Continuous professional development and instructors’ beliefs about and practice of active learning method in Bahir Dar university by Mulugeta Teka Kahsay

“…The study first employed one sample t-tests which showed that, though these instructors held significantly stronger beliefs about active learning methods than the expected level, they reportedly implemented active learning methods slightly less frequently than the expected level. Then, after computing means and standard deviations for each of the two groups of respondents (31 HDP participants and 27 non-participants), multivariate analysis of variance (MANOVA) was applied to compare the difference between HDP participants and non-participants in their beliefs and practice of active learning methods (when both dependent variables considered together). …”
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Research on Closed-Loop Supply Chain with Competing Retailers under Government Reward-Penalty Mechanism and Asymmetric Information by Xiao-qing Zhang, Xi-gang Yuan, Da-lin Zhang

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