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

“…Legal judgment prediction with artificial intelligence algorithms can benefit judicial bodies, legal experts, and litigants as well as judges. …”
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Who decides what is read on Goodreads? Uncovering sponsorship and its implications for scholarly Research by Yuerong Hu, Jana Diesner, Ted Underwood, Zoe LeBlanc, Glen Layne-Worthey, John Stephen Downie

“…With the growing restrictions on access to platform data for research, this study also demonstrates the potential for a mixed-method analysis of historical scraped datasets; an approach that will likely be of interest to many researchers working with cultural data moderated by black-box algorithms. …”
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Non-Contact Platform for the Assessment of Physical Function in Older Adults: A Pilot Study by Ana Sobrino-Santos, Pedro Anuarbe, Carlos Fernandez-Viadero, Roberto García-García, José Miguel López-Higuera, Luis Rodríguez-Cobo, Adolfo Cobo

“…Longitudinal tracking also illustrated how performance varied following a fall, indicating potential for ongoing risk assessment. …”
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Harvester Maintenance Prediction Tool: Machine Learning Model Based on Mechanical Features by Rodrigo Oliveira Almeida, Richardson Barbosa Gomes da Silva, Danilo Simões

“…In default mode, we ran 25 popular algorithms through the database and compared them based on accuracy and error metrics. …”
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Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection by Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev, Alexander Krassovitskiy, Bagashar Zhumazhanov

“…These findings offer valuable insights into the impact of feature selection on unsupervised SCD, providing guidance for the development of more robust and accurate algorithms for practical applications.…”
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Artificial Intelligence Approaches to Energy Management in HVAC Systems: A Systematic Review by Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mohammadsoroush Tafazzoli, Mostafa Khanzadi, Morteza Rahbar

“…This paper provides a systematic review of state-of-the-art practices (2018 and later) using AI algorithms like machine learning (ML), deep learning (DL), and other computation-based techniques that have been deployed to boost HVAC system performance. …”
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Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology by Virna-Maria Tsitou, Dimitrios Rallis, Mariana Tsekova, Nikolay Yanev

“…The application of AI in epidemiology, microbial ecology and forensic microbiology is also outlined, underscoring its proficiency in deciphering complex microbial interactions and forecasting disease outbreaks. …”
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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model by Yi Jie Wang, Wei Chong Choo, Keng Yap Ng, Ran Bi, Peng Wei Wang

“…This study, using advanced text mining and multiple deep learning algorithms, utilized the Web of Science for scientific papers (1587) and the Derwent innovations index for patents (1314) from 2018 to 2022 to study future trends of emerging AI in healthcare. …”
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Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images by Yulia S. Chernyshova, Alexander V. Sheshkus, Vladimir V. Arlazarov

“…Also, our framework is faster than other compared solutions. …”
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Advancements in Optimization Techniques for Active Magnetic Bearing Systems: Current Trends and Future Directions by Tasnemul Hasan Nehal, Waleed M. Hamanah, Mohammad Ali Abido

“…This review delves into cutting-edge optimization techniques for AMBs, from time-tested methods like PID control to innovative approaches such as metaheuristic algorithms, multi-objective optimization, and AI-powered strategies including reinforcement learning and iterative learning control. …”
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A Financial Fraud Prediction Framework Based on Stacking Ensemble Learning by Shanshan Zhu, Haotian Wu, Eric W. T. Ngai, Jifan Ren, Daojing He, Tengyun Ma, Yubin Li

“…We also conducted case studies on specific companies and industries, confirming the significant interpretability and practical applicability of the proposed framework. …”
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A Numerical Laboratory for Simulation of Flanged Reinforced Concrete Shear Walls by Alireza Khaloo, Mohammad Tabiee, Hatef Abdoos

“…Despite their extensive applications in recent years, flanged RC shear walls have rarely been experimentally and numerically studied, mainly due to the difficult and time-consuming fabrication of experimental samples, numerical models, and also their analysis. FlashLab is a finite element method (FEM)-based simulator of flanged RC shear walls. …”
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Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction by Jose Daniel Cuellar Lobo, Zhen Lei, Hexu Liu, Hong Xian Li, SangHyeok Han

“…The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. …”
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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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Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection by Maice Costa, Daniel Sobien, Ria Garg, Winnie Cheung, Justin Krometis, Justin A. Kauffman

“…Using deep learning model predictions requires not only understanding the model’s confidence but also its uncertainty, so we know when to trust the prediction or require support from a human. …”
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Analysis of minimum safe approach distances based on vessels navigation safety domain by Igor Burmaka, Olga Petrychenko, Bohdan Alieksieichuk, Alla Vynohradova

“…The results create a foundation for further improvement of collision avoidance algorithms and contribute to increasing the level of automation in navigation processes and overall maritime safety, especially in conditions of heavy traffic or restricted waterways. …”
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A Hybrid Analytical Framework for Cracking and Some Fruit Quality Features in Sweet Cherries by Erol Aydın, Mehmet Ali Cengiz, Leyla Demirsoy, Hüsnü Demirsoy

“…Key fruit characteristics were measured, and novel machine learning algorithms were applied to identify associations between variables. …”
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Improving the accuracy of thermal power determination of VVER by V. I. Borysenko, D. V. Budyk, V. V. Goranchuk

“…In most algorithms for forming control signals, locks and protection of VVER, the value of the reactor’s thermal power (RTP) is used. …”
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Empowering Optimal Operations with Renewable Energy Solutions for Grid Connected Merredin WA Mining Sector by Md Ohirul Qays, Ravi Kumar, Minhaz Ahmed, Stefan Lachowicz, Uzma Amin

“…The optimization method also resulted in the lowest computation time of 1.153 s and highest accuracy 99.247% when compared with other existing algorithms. …”
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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…Auxiliary decoders are also added throughout the training phase to reinforce consistency regularization and help the model capture extensive hierarchical characteristics. …”
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