Predicting Court Judgment in Criminal Cases by Text Mining Techniques by Mohammad Farhadishad, Mohammad Kazemifard, Zahra Rezaei

“…What is clear is that judges usually judge cases based on their knowledge, experience, personality, and sentiment. …”
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Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. I. Data Set Preparation by Thomas Williams, Christopher B. Prior, David MacTaggart

“…This publicly available living data set will allow users to incorporate these data into their own flare prediction algorithms.…”
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Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

“…Our proposed mechanism, adaptive resource allocation and routing for integrated sensing (ARAR-IS), which uses new wireless technologies, attempts to clear up these problems by allocating and routing assets for incorporated sensing. …”
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User perspectives on AI explainability in aerospace manufacturing: a Card-Sorting study by Sofia Morandini, Federico Fraboni, Mark Hall, Santiago Quintana-Amate, Luca Pietrantoni

“…Qualitative insights emphasized the need for clear communication, intuitive interfaces, and features that reduce cognitive load. …”
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Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis by Xiaoyu Hu, Lanting Guo, Jiyuan Wang, Yang Liu

“…This information-theoretic approach provided clear design priorities by measuring entropy reduction potential of each parameter. …”
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Atrial Tachyarrhythmias and Atrial Flutter: the Basics of Diagnostics and Modern Opportunities of Therapy by Yu. A. Bunin, S. A. Miklishanskaya, E. A. Zolozova, V. V. Chigineva

“…Based on these recommendations, clear algorithms for the management of patients with atrial tachyarrhythmias are given. …”
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Features of Breast Cancer Progression after Comprehensive Treatment, Prognosis of Metastatic Spread by Yu. Chuprovska, V. Bodiaka, O. Ivashchuk, Ch. Tsagkaris

“…The effectiveness of breast cancer treatment is directly related to the absence of metastatic spread after comprehensive treatment. Still, there are no clear criteria and algorithms for predicting the occurrence of this complication. …”
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Using network component analysis to dissect regulatory networks mediated by transcription factors in yeast. by Chun Ye, Simon J Galbraith, James C Liao, Eleazar Eskin

“…The software package implementing the algorithms discussed in this work is available as a MATLAB package upon request.…”
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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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Analytical Methods and Determinants of Frequency and Severity of Road Accidents: A 20-Year Systematic Literature Review by Carlos M. Ferreira-Vanegas, Jorge I. Vélez, Guisselle A. García-Llinás

“…By introducing a new approach based on computational algorithms and data visualization, this SLR fills a gap in the area of RTA analysis and provides a clear picture of the current scientific production in the field. …”
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Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer by Yinwei Chen, Zhanpeng Liu, Qian Yu, Xu Sun, Shuai Wang, Qingyi Zhu, Jian Yang, Rongjiang Jiang

“…In addition, the machine learning algorithms identified 19 rejection-related genes, including PLAC8, involved in ccRCC occurrence. …”
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Explainable Recommender Systems Through Reinforcement Learning and Knowledge Distillation on Knowledge Graphs by Alexandra Vultureanu-Albişi, Ionuţ Murareţu, Costin Bădică

“…Our approach employs reinforcement learning algorithms, graph embeddings, and knowledge distillation to enhance recommendations by providing clear and comprehensible explanations for the recommendations. …”
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CPR-Induced Consciousness during Ventricular Fibrillation: Case Report and Literature Review by Xiaoqing Zhou, Boru Sun

“…It is crucial to develop clear algorithms that focus not only on identifying this phenomenon but also on determining the best approaches to manage it. …”
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CONCEPTUAL PRINCIPLES OF AN INTEGRATED CRISIS MANAGEMENT SYSTEM AND ENSURING RESILIENCE IN TRANSFORMATION CONDITIONS by Dmytro Karamyshev, Liudmyla Hordiienko, Valentyn Suvorov

“…It is proven that the formation of an integrated crisis management and stability system requires the development of a comprehensive mechanism for the development and further application of clear organizational and methodological approaches, tactical algorithms, specific tools, effective coordination measures at different levels of functioning and development of socio-economic systems, where the corresponding levels must be interconnected in terms of goals, resources, time, and qualitative characteristics.…”
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Artificial Intelligence Precision Recognition and Auxiliary Diagnosis of Dental X-ray Panoramic Images Based on Deep Learning by Liu Riming, Gao Zhenshan

“…Objective: This study aims to explore the application of deep learning algorithms in dental X-ray panoramic images, particularly for the automatic segmentation of dental caries and identification of wisdom tooth types, in order to improve the accuracy and efficiency of dental diagnosis and assist doctors in formulating precise treatment plans. …”
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Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN by Marcos Villar García, José-Benito Bouza-Rodríguez, Alberto Comesaña-Campos

“…We propose the use of Mask R-CNN architecture for spine detection and segmentation in response to the first two questions, and a set of algorithms to tackle the third. <b>Methods:</b> The network’s detection and segmentation performance was evaluated through various metrics. …”
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A beginner’s approach to deep learning applied to VS and MD techniques by Stijn D’Hondt, José Oramas, Hans De Winter

“…However, both VS and MD come with their own limitations and methodological difficulties, from hardware limitations to restrictions in algorithmic capabilities. One solution to overcoming these difficulties lies in the field of machine learning (ML), and more specifically deep learning (DL). …”
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THE ADOPTION AND HARMONISATION OF REGULATION (EU) 2024/1689 (AI ACT) AND REGULATION (EU) 2018/1725 (EUDPR): CHALLENGES AND BEST PRACTICES by Emilian MATEICIUC

“…Drawing from lessons learned in implementing GDPR and EUDPR, the study provides practical recommendations to enhance compliance, such as the introduction of unified certification frameworks, dedicated support resources for SMEs, and clear interpretative guidelines from supervisory bodies. …”
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Disseminated intravascular coagulation by Satoshi Gando, Marcel Levi, Cheng-Hock Toh

“…Main body The International Society on Thrombosis and Hemostasis provides definitions, underlying disorders, diagnostic algorithms, and management guidelines for DIC. Two clinical features of DIC are hemorrhagic consumption coagulopathy, characterized by oozing and difficult-to-control bleeding, and microvascular thrombosis, leading to dysfunctions in multiple vital organs. …”
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Recent Advances in Creep Modelling Using the <i>θ</i> Projection Method by William Harrison

“…Using a power law approach along with optimisation algorithms, the residual error between predicted and experimentally observed creep curves is reduced. …”
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