Overview and Prospects of Visibility Analysis Approaches by Jianghong Zhao, Ailin Xu, Xueqing Zhang, Yunhui Zhang, Yihong Zhang, Mengtian Cao, Ming Huang

“…Chronologically, this paper reviews various algorithms, comparing their advantages and limitations in terms of processing speed, accuracy, and applicability. …”
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YOLOv8-POS: a lightweight model for coal-rock image recognition by Yanqin Zhao, Wenyu Wang

“…Comparative evaluations with other prominent algorithms confirm the superior performance of this refined approach, solidifying its advantage in practical deployments.…”
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Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models by Jacob Ford

“…Abstract As the adoption of machine learning algorithms expands across industries, the focus on how these tools can perpetuate existing biases have gained attention. …”
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AI language and emotional support as a physician assistant in hypertension management: an N-of-1 case study on virtual encouragement and blood pressure control by Abdullah Al Fraidan

“…Statistical analysis revealed a significant reduction in systolic and diastolic blood pressure over time, with AI-assisted interventions such as breathing exercises and guided meditation leading to immediate and measurable improvements. …”
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Improved Resolution and Reduced Clutter in Ultra-Wideband Microwave Imaging Using Cross-Correlated Back Projection: Experimental and Numerical Results by S. Jacobsen, Y. Birkelund

“…Selecting the widely used delay-and-sum (DAS) beamforming algorithm as a benchmark, we show that correlation based imaging methods improve the signal-to-clutter ratio by at least 10 dB and improves spatial resolution through a reduction of the imaged peak full-width half maximum (FWHM) of about 40–50%.…”
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High-Level Synthesis under Fixed-Point Accuracy Constraint by Daniel Menard, Nicolas Herve, Olivier Sentieys, Hai-Nam Nguyen

“…Compared to classical methods, the average architecture area reduction is between 10% and 28%.…”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…The findings indicate a significant reduction in the action space, with Q-learning and DQN achieving a decrease of 75% and 67%, respectively.…”
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PROSES BERPIKIR KOMPUTASIONAL SISWA BERDASARKAN PRIOR KNOWLEDGE by Gunawan Gunawan, Joko Purwanto, Fitrianto Eko Subekti

“…Students in the low prior knowledge category need to improve at the design and algorithm stages—students' errors in interpreting the problem abstractly so that there is some misinformation. …”
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An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN by Jie Cao, Zhidong He, Jinhua Wang, Ping Yu

“…The bearing state signal collected by the vibration sensor contains a large amount of environmental noise in actual processes, which leads to a reduction in the accuracy of the convolutional network in identifying bearing faults. …”
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Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

“…Material feeding systems are of pivotal importance in the optimization of productivity, with attendant improvements in quality, reduction of costs, and minimization of delivery times. …”
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Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…This research addresses these gaps by proposing a novel, reproducible framework for SES boundary delineation that integrates both vector and raster data, utilizing advanced spatial optimization techniques and dimension reduction algorithms like UMAP to manage the non-linear characteristics of SES. …”
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Measuring place rather than space: integrating landscape qualities for the urban–rural gradient using people’s perceptions and machine learning by Michal Switalski, Maarten Van Strien, Adrienne Grêt-Regamey

“…Regression models, dimensionality reduction and clustering algorithms were used to uncover patterns between perception (subjective) and spatial (objective) components such as land use, accessibility to services or low level visual features. …”
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Short-Circuit Protection Schemes for LVDC Microgrids Based on the Combination of Hybrid Circuit Breakers and Mechanical Breakers by Riccardo Lazzari, Luigi Piegari

“…This solution has the advantage of energy loss reduction but introduces further issues due to the slow transition times of the mechanical circuit breakers. …”
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Application of Ultra Wideband Signal with High Repetition Rate in Forward Scatter Multi-Static Radar System by E. A. Kolokoltsev, A. V. Myakinkov

“…The author proposes algorithms of UWB signal forming and processing which provides the increase of the coverage when detecting ground targets and high range resolution. …”
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THE FACTS AND MIRAGE OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF NIGERIA by DR ENYINNAYA N. OBOH

“…It is manifest that the integration of AI in the complex Nigeria judicial system is feasible with identifiable benefits ranging from easy and quick access to justice, accurate legal research, efficiency and accuracy in legal processes and reduction of backlog cases while creating ample time for legal professionals to handle more strategic legal tasks. …”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

“…This shift is motivated by the structural vulnerabilities that quantum algorithms may exploit in traditional formulations. …”
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Chaotic Adaptive Butterfly Mating Optimization and Its Applications in Synthesis and Structure Optimization of Antenna Arrays by Bin Li, Chao Liu, Huaning Wu, Yifeng Zhao, Yinghui Dong

“…The proposed algorithm is then used to understand any linear array problems in terms of the sidelobe reduction. …”
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Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning by Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha

“…The proposed method utilizes machine learning techniques through support vector machine (SVM) and random forest algorithm (RFA) for anomaly detection and similarity-based method of dynamic time warping (DTW) for RUL prediction. …”
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COMBINED ANALYSIS OF LINKAGE AND WHOLE EXOME SEQUENCING REVEALS CIC AS A CANDIDATE GENE FOR ISOLATED DYSTONIA by Barış Salman, Emrah Yücesan, Bedia Samancı, Başar Bilgiç, Haşmet Ayhan Hanağası, İbrahim Hakan Gürvit, Uğur Özbek, Sibel Aylin Uğur İşeri

“…An in-house pipeline compiled for WES analysis along with in-depth in silico prediction algorithms were used to assess the associated data produced in this study. …”
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“VisualFields Easy”: an iPad Application as a Simple Tool for Detecting Visual Field Defects by Angelane S. Santos, MD, Evelyn S. Morabe, MD

“…Purpose/Objective: This study aims to determine the reliability of the “VisualFields Easy” application in detecting visual field loss among ophthalmology patients; and to determine the sensitivity, specificity, positive predictive and negative predictive values of this examination using the Humphrey Visual Field Analyzer as the gold standard. …”
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