An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

“…Quantum Fourier transform and Grover’s search are chosen as case studies in this work since they are the core of many useful quantum algorithms. Experimental work shows that, with the proposed emulation architecture, a linear reduction in resource utilization is attained against the pipeline implementations proposed in prior works. …”
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Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

“…First, a decoding algorithm optimization and a compact data structure are proposed. …”
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STUDY ON THE USE OF COMPUTER BASED INFORMATION SYSTEMS IN PRODUCTION MANAGEMENT by Mirela PLESA (CHIRIACESCU)

“…These changes ultimately lead to a reduction in the amount of food available to humans and animals, to starvation, a phenomenon that still affects millions of people today.…”
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Numerical Reduced Variable Optimization Methods via Implicit Functional Dependence with Applications by Christopher Gunaseelan Jesudason

“…This work is more general than the reduction schemes for conditional linear parameters since it covers the nonconditional case as well and has potentially wide applicability.…”
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Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration by Ali Shehadeh, Odey Alshboul

“…The results indicate a reduction in design clashes by 16% and iterative revisions by 15%, culminating in a 12% decrease in overall project timelines. …”
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Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization by Jieming Yang, Zhaoyang Qu, Zhiying Liu

“…The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. …”
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Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

“…This method addresses the reduction in classification accuracy caused by the denoising process. …”
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Improving Non-Cartesian MRI Reconstruction through Discontinuity Subtraction by Jiayu Song, Qing Huo Liu

“…Multidimensional nonuniform fast Fourier transform (NUFFT) algorithms are utilized to simulate the k-space samples as well as to reconstruct images. …”
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Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

“…Moreover, this distribution discrepancy may lead to unreliable predictions by GNNs models within unknown OOD domains. …”
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Assessment of medical risks in airline passengers with recent acute and chronic coronary syndromes by I. N. Posokhov, E. A. Praskurnichiy

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MANAGEMENT OF PATIENTS WITH PARKINSON’S DISEASE AND AN OVERACTIVE BLADDER by E. S. Korshunova, M. N. Korshunov, S. P. Darenkov

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Young and Inverse Young Inequalities on Euclidean Jordan Algebra by Chien-Hao Huang

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Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

“…The use of Artificial Neural Networks (ANN), one of the artificial intelligence methods used for prediction, has increased in the field of health in recent years and has become an important tool for early disease diagnosis. …”
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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints by Danyang Li, Hongpeng Liu, Jingwei Zhang, Xu Han, Shuxin Zhang

“…A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. …”
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Knowledge of alarm signs of stroke among caretakers of stroke patients and first contact healthcare providers at two tertiary referral hospitals in Uganda by Salvatore Ssemmanda, Abdu Kisekka Musubire

“…Although acute stroke recognition algorithms like BE-FAST are widely accepted, applied and generally easy to administer, their utility in Uganda is unknown. …”
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Baseline high-resolution maps of soil nutrients in Morocco to support sustainable agriculture by Yassine Bouslihim, Abdelkrim Bouasria, Ahmed Jelloul, Lotfi Khiari, Sara Dahhani, Rachid Mrabet, Rachid Moussadek

“…Uncertainty assessment through bootstrapping confirmed prediction stability across diverse agricultural landscapes. …”
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Regularized extreme learning machine based on variable step alternating direction method of multipliers by LU Huihuang, ZOU Weidong, LI Yuxiang

“…The results show that VAR-ADMM-RELM improves the average classification accuracy and average regression prediction by 1.94% and 2.49%, respectively, compared to ELM. …”
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Detection of Incipient Faults in Power Transformers using Fuzzy Logic and Decision Tree Models Based on Dissolved Gas Analysis by Felix Olowolafe, Kehinde Olukunmi Alawode

“…Moreover, Decision Tree models for KGA, Doernenburg, Rogers, and IEC also demonstrate substantial prediction accuracy at 92%, 86%, 92%, and 90% respectively underscoring the efficacy of artificial intelligence methods over traditional approaches. …”
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The importance of precise and suitable descriptors in data‐driven approach to boost development of lithium batteries: A perspective by Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He

“…This paper provides a review of previous research studies conducted on AI, ML, and descriptors, which have been used to address challenges at various levels, ranging from materials development to battery performance prediction. Additionally, it introduces the basics of AI and ML to assist materials and battery developers in comprehending their operational mechanisms. …”
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Application of deep learning convolutional neural networks to identify gastric squamous cell carcinoma in mice by Yuke Ren, Yuke Ren, Shuangxing Li, Di Zhang, Yongtian Zhao, Yanwei Yang, Guitao Huo, Xiaobing Zhou, Xingchao Geng, Zhi Lin, Zhe Qu

“…Five different convolutional neural networks (CNNs)-FCN, LR-ASPP, DeepLabv3+, U-Net, and DenseNet were applied to identify GSCC and non-GSCC regions. Tumor prediction images (algorithm results shown as overlays) derived from the slide images were compared, and the performance of the constructed models was evaluated using Precision, Recall, and F1-score.ResultsThe Precision, Recall, and F1-scores of DenseNet, U-Net, and DeepLabv3 + algorithms were all above 90%. …”
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