Efficient slice anomaly detection network for 3D brain MRI Volume. by Zeduo Zhang, Yalda Mohsenzadeh

“…Especially for 3D brain MRI data, all the state-of-the-art models are reconstruction-based with 3D convolutional neural networks which are memory-intensive, time-consuming and producing noisy outputs that require further post-processing. We propose a framework called Simple Slice-based Network (SimpleSliceNet), which utilizes a model pre-trained on ImageNet and fine-tuned on a separate MRI dataset as a 2D slice feature extractor to reduce computational cost. …”
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A New Highly Secure Optical Image Security Technique Using Gyrator Transform for Image Security-Related Applications by L. Anusree, M. Abdul Rahiman

“…Each work has its advantages and disadvantages in terms of computational complexity, security level, flexibility, quality, and so on. …”
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Pharmacophore screening, molecular docking, and MD simulations for identification of VEGFR-2 and c-Met potential dual inhibitors by Junmin Dong, Xiaohua Hao

“…Subsequent molecular dynamics (MD) simulations and MM/PBSA calculations were conducted to assess the stability of the protein-ligand interactions.ResultsFrom the virtual screening process, 18 hit compounds were identified to exhibit potential inhibitory activity against VEGFR-2 and c-Met. …”
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Security scheme for time-critical TRDP message by CUI Yulong, WU Xuechao, CHENG Youlin, LU Xiang

“…However, with the introduction of the Ethernet architecture, traditional computer network security risks were also brought into the train communication network. …”
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Mapeamento ambiental integrado: município de Porto Alegre, RS by Heloise Canal, Roberto Verdum

“…In the case of Porto Alegre, were compiled from various sources the data on the topography, the hydrology, climatic conditions, to build and cultivate spaces and green areas, besides the studies that addressed the degradation of its elements. The storage, processing, and output data were performed using application specific computational manipulation of geographic information - Geographic Information System (GIS). …”
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Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics. by Katrina A Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser

“…Here, we present mathematical, analytical, and computational results that demonstrate that consideration of the spatial structure of the viral population within the host radically alters predictions of previous models. …”
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Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU. by Heena Kauser Sk, Maria Anu V

“…The model extracts static features (permissions, API calls, intent filters) and dynamic features (system calls, network activity, inter-process communication) from Android APKs, enabling a comprehensive analysis of application behavior.The proposed model was trained and tested on the Drebin dataset, which includes 129,013 applications (5,560 malware and 123,453 benign).Performance evaluation against NMLA-AMDCEF, MalVulDroid, and LinRegDroid demonstrated that DBN-GRU achieved 98.7% accuracy, 98.5% precision, 98.9% recall, and an AUC of 0.99, outperforming conventional models.In addition, it exhibits faster preprocessing, feature extraction, and malware classification times, making it suitable for real-time deployment.By bridging static and dynamic detection methodologies, the DBN-GRU enhances malware detection capabilities while reducing false positives and computational overhead.These findings confirm the applicability of the proposed model in real-world Android security applications, offering a scalable and high-performance malware detection solution.…”
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CBMAP: Clustering-Based Manifold Approximation and Projection for Dimensionality Reduction by Berat Dogan

“…To address these challenges, this study introduces a novel approach, CBMAP (Clustering-Based Manifold Approximation and Projection), which explicitly incorporates clustering in the high-dimensional space to guide the embedding. CBMAP computes membership values based on cluster centers in the original space and preserves these memberships during the projection process. …”
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Case report: Primary intraosseous meningioma: a radiological study of two cases confirmed pathologically by Yue Wang, Jibo Hu

“…The imaging characteristics of PIM exhibit variability across different pathological grades, a factor that can significantly aid in both the diagnostic process and the formulation of appropriate treatment strategies.…”
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Comparison between Timelines of Transcriptional Regulation in Mammals, Birds, and Teleost Fish Somitogenesis. by Bernard Fongang, Andrzej Kudlicki

“…Using a deconvolution approach, we computationally reconstruct and compare the precise timelines of expression during somitogenesis in chicken and zebrafish. …”
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Features of diagnostics and surgical treatment of acute anaerobic paraproctitis by E. E. Bolkvadze

“…Ultrasound investigation was supplemented by computer tomography for differential diagnostics. Surgical interventions in all cases was carried out under urgent indications. …”
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Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives by Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova, Humera Khan

“…This paper examines some of the recent advances of AI for CAR-based therapies, for example, using deep learning (DL) to design CARs that target multiple antigens and avoid antigen escape; using natural language processing to extract relevant information from clinical reports and literature; using computer vision to analyze the morphology and phenotype of CAR cells; using reinforcement learning to optimize the dose and schedule of CAR infusion; and using AI to predict the efficacy and toxicity of CAR-based therapies. …”
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Complex Neutrosophic Approach for Uncertainty Management in Employment Competence for Higher Vocational College Students by Shuo Du, Lijuan Zhao

“…The proof-of-concept analysis highlighted the best-ranked alternative while offering intuitions about the sensitivity of the decision process. …”
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An area coverage algorithm for wireless sensor networks based on differential evolution by Ning-ning Qin, Jia-le Chen

“…To this end, we translate continuous area coverage into classical discrete point coverage, so that the optimization process can be realized by wireless sensor networks. …”
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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens by Paul English, Muir J. Morrison, Blaine Mathison, Elizabeth Enrico, Ryan Shean, Brendan O'Fallon, Deven Rupp, Katie Knight, Alexandra Rangel, Jeffrey Gilivary, Amanda Vance, Haleina Hatch, Leo Lin, David P. Ng, Salika M. Shakir

“…We present the development of an artificial intelligence computer vision process using a deep convolutional neural network to detect acid-fast bacilli (AFB) from Kinyoun acid-fast stained slides. …”
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Disorder robust, ultra-low power, continuous-wave four-wave mixing in a topological waveguide by Choi Ju Won, Sohn Byoung-Uk, Chen George F.R., Gao Hongwei, Mitchell William J., Ng Doris K.T., Tan Dawn T.H.

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Advanced low-thermal fortification strategy for dill juice: enhanced bioaccessibility and functional properties through MLP-RSM optimization by Seydi Yıkmış, Aylin Duman Altan, Selinay Demirel, Melikenur Türkol, Nazlı Tokatlı, Nazan Tokatlı Demirok, Moneera O. Aljobair, Emad Karrar, Isam A. Mohamed Ahmed

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Out-of-Distribution in Image Semantic Communication: A Solution With Multimodal Large Language Models by Feifan Zhang, Yuyang Du, Kexin Chen, Yulin Shao, Soung Chang Liew

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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

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Improving Psychological and Educational Support of University Students with Disabilities in Kazakhstan by Rakhila Aubakirova, Aisulu Zhomartova, Murshida Nurgaliyeva, Gulmira Tulekova, Gulnar Tursungozhinova, Marina Skiba, Alma Turganbayeva, Oxana Belenko

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