SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

“…The improved guided filter employs a hybrid procedure instead of the mean filter in the smoothing process and relies on an adaptive regularization parameter. The applied modifications eliminated the overshooting and halo effects of the original unsharp masking and the guided filter, resulting in better-quality images. …”
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HMCFormer (hierarchical multi-scale convolutional transformer): a hybrid CNN+Transformer network for intelligent VIA screening by Bo Feng, Chao Xu, Zhengping Li, Chuanyi Zhang

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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm by Shixing Zheng

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

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Low-Cost Embedded System Design for Smart Home Automation Using RF Technology by Yavuz Erdem

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Traceability, reproducibility and wiki-exploration for "à-la-carte" reconstructions of genome-scale metabolic models. by Méziane Aite, Marie Chevallier, Clémence Frioux, Camille Trottier, Jeanne Got, María Paz Cortés, Sebastián N Mendoza, Grégory Carrier, Olivier Dameron, Nicolas Guillaudeux, Mauricio Latorre, Nicolás Loira, Gabriel V Markov, Alejandro Maass, Anne Siegel

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Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model by Ludwig Melanie, Asteroth Alexander, Rasche Christian, Pfeiffer Mark

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Social networks and self-function-related interpersonal impairment in problematic Facebook and internet use by Imre András Török, Robert Herold, Szabolcs Bandi, Júlia Éva Varga, Sándor Rózsa, Eszter H. Somlai, János Kállai

“…Intense engagement with computer-generated environments induces modifications in cognitive strategies and social behavior. …”
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An early investigation of collaborative problem solving in conversational AI-mediated learning environments by Sinem Aslan, Nese Alyuz, Belle Li, Lenitra M. Durham, Meng Shi, Sangita Sharma, Lama Nachman

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Fantastic genes and where to find them expressed in CHO by Markus Riedl, Caterina Ruggeri, Nicolas Marx, Nicole Borth

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E-commerce Live-Streaming Platform and Decision Support System Based on Fuzzy Association Rule Mining by Hua Liao

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Study on lightweight strategies for L-YOLO algorithm in road object detection by Ji Hong, Kuntao Ye, Shubin Qiu

“…Second, a small object detection layer is introduced into the feature fusion network, replacing the original C2f modules with the new CStar modules. This modification improves the capture of features and contextual information for small vehicle targets without significantly increasing computational demands. …”
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MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft by Xieyu Xu, Lingyu Yang, Jing Zhang

“…The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. …”
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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…EdgeGuard uses edge computing to improve system scalability and efficiency by offloading computational tasks from IoMT devices with limited resources. …”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…This study provides critical insights into the geometric adaptability of acceleration methods for high-fidelity neutron transport computations. …”

Biological sensors and bio-inspired technologies: the role of insects in advanced detection systems and robotics by Ebrahim Abbasi

“…Insects possess highly specialized sensory mechanisms and locomotion strategies that have evolved over millions of years, offering novel insights for the development of bio-electronic sensors, adaptive robots, and innovative materials. The study employs a combination of electrophysiological recordings, computational modeling, and bio-engineering techniques, including microfabrication of bio-sensors, neural interfacing for insect-controlled robotics, and genetic modifications for analyzing insect sensory mechanisms to investigate the sensory capabilities of insects such as honeybees, fruit flies, and cockroaches. …”
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Modified Projection Algorithms for Solving the Split Equality Problems by Qiao-Li Dong, Songnian He

“…In this paper, we propose a modification for the CQ algorithm, which computes the stepsize adaptively and performs an additional projection step onto two half-spaces in each iteration. …”
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Multi-UAV Delivery Path Optimization Based on Fuzzy C-Means Clustering Algorithm Based on Annealing Genetic Algorithm and Improved Hopfield Neural Network by Song Liu, Di Liu, Meilong Le

“…The subsequent phase implements an enhanced Hopfield neural network (HNN) architecture incorporating three key modifications: data normalization procedures, adaptive step-size control mechanisms, and simulated annealing integration, collectively improving the TSP solution quality and computational efficiency. …”
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The entropy-transformed Gompertz distribution: Distributional insights and cross-disciplinary utilizations

“…By significantly improving the functional shape and having the ability to model the most likely form of the hazard rate function, this new modification has increased the adaptability of the typical distribution. …”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

“…A feature of this model is the ability of the algorithm to recognize the class of the automata Markov model in the case when some states are not observable in the generated sequence. A modification of the “forward-backward” algorithm and its adaptation to the problem of identification of automata Markov models defined using ergodic stochastic matrices on the basis of the realizations of Markov chains generated by them has been proposed. …”
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