Intelligent SDN to enhance security in IoT networks by Safi Ibrahim, Aya M. Youssef, Mahmoud Shoman, Sanaa Taha

“…This study employs multiclassification algorithms to precisely detect and categorise diverse security threats in SDN. …”
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Identification of common genetic variation that modulates alternative splicing. by Jeremy Hull, Susana Campino, Kate Rowlands, Man-Suen Chan, Richard R Copley, Martin S Taylor, Kirk Rockett, Gareth Elvidge, Brendan Keating, Julian Knight, Dominic Kwiatkowski

“…The functional consequences of these SNPs could not be predicted using bioinformatic algorithms. Our findings suggest that phenotypic variation in splicing patterns is determined by the presence of SNPs within flanking introns or exons. …”
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Fairness modeling for topics with different scales in short texts by Chuangying Zhu, Yongyu Liang, Xinyuan Liang, Limiao Zhong, Fei Xie

“…The employment of graph algorithms facilitates the identification of semantically related clusters within the document graph, thereby enhancing the semantic associations between sparse data. …”
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes by Yi‐Jen Sun, Shih‐Ching Yen, Tzu‐Hao Lin

“…This toolbox provides algorithms for supervised and unsupervised source separation (SS). …”
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COVID-19 REINFECTION: DOES IT MATTER? by E. Füsun Karaşahin, Ömer Karaşahin, Mehtap Hülya Aslan

“…Conclusion: This study demonstrated that the frequency of COVID-19 reinfection is higher than predicted. The complex algorithms recommended by international health institutions make it difficult to detect these cases. …”
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LAYERED DEFENSE IN COMMUNICATION SYSTEMS: JOINT USE OF VPN PROTOCOLS AND LINEAR BLOCK CODES by Vladyslav Sharov, Olena Nikulina

“…Traditional protection methods, such as virtual private networks (VPNs), are primarily aimed at ensuring confidentiality and authenticity through cryptographic algorithms, while typically lacking resilience to transmission-level errors arising from noise, interference, or hardware failures. …”
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Modeling of double ground fault modes in power supply systems of non-traction consumers of railway transport by A. V. Kryukov, I. S. Ovechkin, K. V. Suslov

“…The results obtained can be used in practice to configure relay protection devices for overhead signaling lines in order to reliably detect double ground fault modes and take measures to eliminate them. …”
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DETERMINATION OF THE BASIC PARAMETERS OF SENSOR DEVICES FOR THE IMPLEMENTATION OF PSYCHONEUROLOGICAL RESEARCH WITH THE INTRODUCTION OF MULTITOUCH TECHNOLOGY by Karina Selivanova, Oleg Avrunin, Nikita Kazimirov

“…The goal of the work is development specialized dynamic tests with the introduction of Multi-touch technology to detect carpal tunnel syndrome and hand dysfunction in the early stages of the disease. …”
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Effective deep learning aided vehicle classification approach using Seismic Data by Sherief Hashima, Mohamed H. Saad, Ahmad B. Ahmad, Takeshi Tsuji, Hamada Rizk

“…Traditional classification algorithms rely heavily on visual or sensor-based data (e.g., radar or image signals), often compromised by adverse weather, poor lighting, or occlusion. …”
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The evolutionary analysis of emerging low frequency HIV-1 CXCR4 using variants through time--an ultra-deep approach. by John Archer, Andrew Rambaut, Bruce E Taillon, P Richard Harrigan, Marilyn Lewis, David L Robertson

“…Then, in conjunction with coreceptor prediction algorithms that infer HIV tropism, our software was used to quantify the viral population structure pre- and post-treatment. …”
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Sequential Hybrid Integration of U-Net and Fully Convolutional Networks with Mask R-CNN for Enhanced Building Boundary Segmentation from Satellite Imagery by Rojgar Qarani Ismael, Haval Abduljabbar Sadeq

“… In the recent years, building boundary segmentation obtained significant advancement through using deep learning. The present algorithms, such as Convolutional Neural Network (CNN) are unable to detect buildings in challenging urban areas like occlusions. …”
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Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area by Abdelmajid Bousselham, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani

“…We conclude that tumor contours delineation based on tumor temperature changes can be exploited to reinforce and enhance segmentation algorithms in MRI diagnostic.…”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…Molecules that inhibit this protein can cause acquired long QT syndrome, increasing the risk of arrhythmias and sudden fatal cardiac arrests. Detecting compounds with potential hERG inhibitory activity is therefore essential to mitigate cardiotoxicity risks. …”
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Mitigating Transmission Errors: A Forward Error Correction-Based Framework for Enhancing Objective Video Quality by Muhammad Babar Imtiaz, Rabia Kamran

“…This is achieved by combining H.264/AVC syntax-based encryption and decryption algorithms with error correction during the video coding process to provide end-to-end confidentiality. …”
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Assessment of flight fatigue using heart rate variability and machine learning approaches by Dalong Guo, Cong Wang, Yufei Qin, Lamei Shang, Aijing Gao, Baosen Tan, Yubin Zhou, Guangyun Wang

“…A subset of HRV features and the respiratory metric were used as input variables for four machine learning algorithms: decision tree, support vector machine, K-nearest neighbor, and light gradient-boosting machine (LightGBM). …”
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Atten‐SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over‐segmentation by Swagata Kundu, Dimitrios Toumpanakis, Johan Wikstrom, Robin Strand, Ashis Kumar Dhara

“…Manual delineation is time‐consuming and prone to errors, hence the adoption of automated 3D quantification methods using deep learning algorithms from MRI scans in recent times. However, automated segmentation often leads to over‐segmentation or under‐segmentation of tumour regions. …”
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CNN‐based off‐angle iris segmentation and recognition by Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl

“…Finally, the recognition performance of the selected approach is compared against some state‐of‐the‐art off‐angle iris recognition algorithms.…”
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A Prototype Unit of a Distributed Sensor System for Ecological Monitoring by E. A. Sevryukova, E. A. Volkova, V. A. Doroshenko, A. V. Solodkov

“…A prototype of the system was constructed, and algorithms for receiving and transmitting signals were simulated.Aim. …”
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Activity cliff-aware reinforcement learning for de novo drug design by Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang

“…ACARL’s primary technical contributions include the formulation of an activity cliff index to detect these critical points, and a contrastive RL loss function that dynamically enhances the generation of activity cliff compounds, optimizing the model for high-impact SAR regions. …”
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Workload Forecasting Methods in Cloud Environments: An Overview by Samah Aziz, Manar Kashmoola

“…We explore more sophisticated approaches like algorithms for deep learning (DL) and machine learning (ML) in addition to more conventional approaches like analysis of time series and models of regression. …”
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