Water temperature prediction in a subtropical subalpine lake using soft computing techniques by Saeed Samadianfard, Honeyeh Kazemi, Ozgur Kisi, Wen-Cheng Liu

“…To evaluate the performance of the soft computing techniques, three different statistical indicators were used, including the root mean squared error (RMSE), the mean absolute error (MAE), and the coefficient of correlation (R). …”
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From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare by Suresh Neethirajan

“…Ultimately, this critical review calls for an ethical, empathetic, and scientifically grounded integration of cognitive computing into animal welfare practices.…”
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Prevalence of ear disease in cats undergoing cone beam computed tomography for dental procedures by Hannah F. Boothe, Hannah F. Boothe, Mary Krakowski Volker, Mary Krakowski Volker, Jennifer Tjepkema, Jennifer Tjepkema, Adrien-Maxence Hespel

“…IntroductionIn this prospective, cross-sectional study, 303 feline patients were evaluated via cone beam computed tomography (CBCT) for evidence of incidental ear disease during a dental procedure.MethodsAll feline patients over one year of age presenting to a private practice veterinary dentistry and oral surgery specialty clinic underwent CBCT imaging which included the oral cavity and ear canals. …”
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Four-dimensional computed tomography analysis of bicuspid aortic valvesCentral MessagePerspective by Amine Fikani, MD, Damian Craiem, PhD, Cyrille Boulogne, PhD, Gilles Soulat, PhD, Elie Mousseaux, PhD, Jerome Jouan, PhD

“…Objectives: To evaluate the role of 4-dimensional (4D; 3-dimensional [3D] + time) analysis using multiphase cardiac computed tomography (MCCT) in the description of the aortic annulus (AA) of bicuspid aortic valves (BAV) with regard to the latest expert consensus classification. …”
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Generative Artificial Intelligence in Computer Programming: Does It Enhance Learning, Motivation, and the Learning Environment? by Claudio Cubillos, Rafael Mellado, Daniel Cabrera-Paniagua, Enrique Urra

“…An experiment was conducted with 40 computer engineering students divided into two groups: one using GenAI (Google Gemini 1.5) and another employing educational videos. …”
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Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review by Jaaz Zahraa A., Ezanee Bin Rusli Mohd, Rahmat Nur Azzammudin, Al-Adilee Maythem Kamal Abbas

“…However, achieving low latency remains a challenge, even for systems that critically depend on it, such as emergency response systems and remote surgeries. Fog computing (FC) emerges as a promising solution to mitigate latency issues by bringing computational resources closer to edge devices. …”
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Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models by Wenshuo Yue, Kai Wu, Zhiyuan Li, Juchen Zhou, Zeyu Wang, Teng Zhang, Yuxiang Yang, Lintao Ye, Yongqin Wu, Weihai Bu, Shaozhi Wang, Xiaodong He, Xiaobing Yan, Yaoyu Tao, Bonan Yan, Ru Huang, Yuchao Yang

“…Experimental results demonstrate the effectiveness of increasing enumeration complexity to 5.77 × 1075 for a 128-column compute-in-memory core. We further implement and evaluate a RePACK computing system on a 40 nm resistive memory compute-in-memory chip. …”
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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…Educational outcomes were evaluated through both quantitative and qualitative analyses. …”
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Prognosis of extracolonic findings on clinical computed tomographic colonography: A single-center experience. by Hideto Tomimatsu, Keita Fujimoto, Taketo Suto, Masayuki Matsuo

“…Computed tomographic colonography (CTC) is crucial for colorectal cancer screening and secondary examinations, often revealing extracolonic findings with unclear significance. …”
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Function Delivery Network: A Spatial-Temporal Execution Orchestrator for Optimizing Serverless Computing by Joel R. Corporan, Arshdeep Bahga, Vijay K. Madisetti

“…We implement the FDN on a major cloud platform and evaluate its performance against traditional Function-as-a-Service (FaaS) execution using a variety of benchmark functions. …”
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THE METHODS OF FORMATION OF VISUAL AND INFORMATION CULTURE OF PRE-SERVICE MATHEMATICS AND COMPUTER SCIENCE TEACHERS by Maryna H. Drushliak

“…Modern mathematics and computer science teacher must have a high level of formation of visual and information culture, i.e. must have values, aspirations for development in the field of visualization and informatization of education; have computer and mathematical, psychological and pedagogical, technological knowledge; skills to perceive, analyze, compare, interpret, produce using information technology, structure, integrate, evaluate visually presented educational material, which depends on the method of cognitive theoretical and practical activities of teachers and students. …”
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A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue by Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni

“…Tested on synthetic data, the algorithm showed minimal error and was evaluated on data from 82 patients. We computed the CSA using both our approach and Hsieh’s method, which relies on subjective CT scan measurements, in a double-blind study with two radiologists of different experience levels. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…This review focuses on integrating AI with Computer-Aided Sperm Analysis (CASA) systems to improve assessments of sperm motility, morphology, and DNA integrity. …”
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A Systematic Literature Review on Risk Assessment in Cloud Computing: Recent Research Advancements by Saadia Drissi, Meriyem Chergui, Zakaria Khatar

“…Cloud Computing serves as a service offering organizations a range of opportunities such as flexibility, scalability, and cost-effectiveness. …”
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A Quasi-Bonjean Method for Computing Performance Elements of Ships Under Arbitrary Attitudes by Kaige Zhu, Jiao Liu, Yuanqiang Zhang

“…Drawing inspiration from Bonjean curve principles, this study proposes a Quasi-Bonjean (QB) method to compute ship performance elements in arbitrary attitudes. …”
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Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

“…Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted searches for solutions with different qualities. …”
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SVM-enhanced attention mechanisms for motor imagery EEG classification in brain-computer interfaces by Zhenis Otarbay, Zhenis Otarbay, Abzal Kyzyrkanov

“…Brain-Computer Interfaces (BCIs) leverage brain signals to facilitate communication and control, particularly benefiting individuals with motor impairments. …”
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SREHA: An Efficient Handover Authentication Scheme Based on Social Relationships in Mobile Edge Computing by Ziwang Wang, Liang Wang, Huili Yan, Zhize Wu

“…The results demonstrate that our scheme effectively reduces the time delay of the handover authentication process, and exhibits lower computational overhead and higher security compared to existing schemes.…”
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USE OF CONE-BEAM COMPUTED TOMOGRAPHY IN PEDIATRIC PATIENTS: A RETROSPECTIVE OBSERVATIONAL STUDY by Sevde Göksel, Ahmet Faruk Ertürk, Gülsevim Oda, Hülya Çakır Karabaş, İlknur Özcan

“…Objectives: This study aimed to determine and classify the reasons for cone-beam computed tomography (CBCT) imaging requests in the Oral and Maxillofacial Radiology Department, Istanbul University Faculty of Dentistry, and to examine which reasons more commonly require CBCT imaging.Material and methods: From the local CBCT database, 956 pediatric patients gave their consent. …”
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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…To address existing limitations, we propose a novel paradigm that integrates machine learning with computer simulations by embedding simulation-derived constraints and structural priors directly into the model training process. …”
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