Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India by Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal

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Eye tracking scanpath analysis techniques on web pages: A survey, evaluation and comparison by Sukru Eraslan, Yeliz Yesilada, Simon Harper

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Trust evaluation model for distributed home photovoltaic collection scenarios in new power system by Li LI, Xiaolong WANG, Zhixin ZHANG, Rongliang SHI, Xu GUO

“…Aiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario, which was difficult to meet the require-ments of strong computing power and high defense power of the new power system, a distributed dynamic trust evaluation model based on multi-index detection was proposed.Firstly, the communication trust evaluation based on Bayes was carried out according to the historical interaction of terminal acquisition nodes.Then, the currently col-lected data was evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density.Finally, the entropy weight method was used to decentralize each trust module’s values dynamically.The node activeness and double reward and punishment mechanism were introduced to calculate the comprehensive trust value and realize the dynamic update.The experimental results show that the four levels of the trust evaluation model are suitable for the new power system environment and can be used to detect the distributed in 20 round period of household photovoltaic power generation collection given the signal in the scene, achieve dynamic and accurate trust evaluation of abnormal nodes in the case of physical environment factors, equipment quality factors, human misoperation and malicious intrusion.…”
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Evaluation of Natural Peptides to Prevent and Reduce the Novel SARS-CoV-2 Infection by María Paredes-Ramos, Enma Conde Piñeiro, Horacio Pérez-Sánchez, José M. López-Vilariño

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Utility of Spinal Injury Diagnosis Using C-Spine Lateral X-Ray and Chest, Abdomen and Pelvis Computed Tomography in Major Trauma Patients with Impaired Consciousness by Yoon Soo Jang, Byung Hak So, Won Jung Jeong, Kyung Man Cha, Hyung Min Kim

“…The primary purpose of this study is to evaluate the effectiveness and influence on prognosis of additional cervical-thoracic-lumbar-spine computed tomography (CTL-spine CT) scan in diagnosis of spinal injury from the victim of major blunt trauma with impaired consciousness. …”
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Evaluation of convolutional neural networks for the classification of falls from heterogeneous thermal vision sensors by Miguel Ángel López-Medina, Macarena Espinilla, Chris Nugent, Javier Medina Quero

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Streamlining Sensor Technology: Focusing on Data Fusion and Emotion Evaluation in the e-VITA Project by Michael McTear, Kristiina Jokinen, Sonja Dana Roelen, Muhammad Saif-Ur-Rehman, Mossaab Hariz, Jérôme Boudy, Christophe Lohr, Florian Szczepaniak, Rainer Wieching, Toshimi Ogawa

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Evaluation of Several Machine Learning Models for Field Canal Improvement Project Cost Prediction by Saadi Shartooh Sharqi, Aayush Bhattarai

“…Due to the massive advancement of soft computing (SC) and Internet of things (IoT), the main research objective of the current study was initiative. …”
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Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population. by John T Murchison, Gillian Ritchie, David Senyszak, Jeroen H Nijwening, Gerben van Veenendaal, Joris Wakkie, Edwin J R van Beek

“…<h4>Objective</h4>In this study, we evaluated a commercially available computer assisted diagnosis system (CAD). …”
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Evaluating MIMO-VLC System Performance: Modulation Techniques and Ambient Light Interference Effects by Emad S. Hassan, Abdoh Jabbari, Ayman A. Alharbi

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Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations f... by Paul C. Okonkwo, Samuel Chukwujindu Nwokolo, Saad S. Alarifi, Stephen E. Ekwok, Rita Orji, Sunday O. Udo, Ahmed M. Eldosouky, El Manaa Barhoumi, Barun Kumar Das, David Gomez-Ortiz, Kamal Abdelrahman, Anthony E. Akpan

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Evaluating Virtual Game Design for Cultural Heritage Interpretation: An Exploratory Study on arkeOyun by Sevde Güner, Leman Figen Gül

“…Our study incorporates qualitative and quantitative methods, utilising concurrent think-aloud and heuristic evaluation with participants who were selected due to their expertise in heritage, design, and human–computer interaction domains. …”
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SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models by Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, Xiaochun Cao

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A Systemic Approach to Evaluating Fintech-Driven Competitiveness in Commercial Banks: Integrating Delphi and ANP Methods by Xin Wang, Wenxiu Hu, Na Guan

“…To address this, we propose a complex systems-based competitiveness evaluation framework guiding strategic fintech adjustments. …”
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Implementation of an information system for tuberculosis in healthcare facilities in Indonesia: evaluation of its effectiveness and challenges by Rita Dian Pratiwi, Bachti Alisjahbana, Yanri Wijayanti Subronto, Sigit Priyanta, Suharna Suharna

“…First, a heuristic evaluation was conducted by three expert user experience designers. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

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^99mTc-Labeled Diarylpyrazoles for Single-Emission Computer Tomography Imaging of Neurotensin Receptor-Positive Tumors: A Comparative Preclinical Study by Roman Potemkin, Simone Maschauer, Harald Hübner, Torsten Kuwert, Tobias Bäuerle, Peter Gmeiner, Olaf Prante

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Evaluation of ecological environment quality in China's mining areas by remote sensing: A review by LI Feiyue, LI Jun, XIAO Wu, ZHANG Chengye, WANG Shanshan, YANG Junquan, ZHANG Xiaoping, CHENG Yang

“…Potential research opportunities include expanding accessible indicators by remote sensing, constructing a framework for integrated data collection on the surface and underground, improving the data quality of remote sensing indicators, constructing a new indicator system for evaluation using remote sensing, and developing cloud computing algorithms.…”
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Deep learning-based identification and localization of intracranial hemorrhage in patients using a large annotated head computed tomography dataset: A retrospective multicenter stu... by Jingjing Liu, Weijie Fan, Yi Yang, Qi Peng, Bingjun Ji, Luxing He, Yang Li, Jing Yuan, Wei Li, Xianqi Wang, Yi Wu, Chen Liu, Qingfang Gong, Mi He, Yeqin Fu, Dong Zhang, Si Zhang, Yongjian Nian

“…Background: Accurately identifying and localizing the five subtypes of intracranial hemorrhage (ICH) are crucial steps for subsequent clinical treatment; however, the lack of a large computed tomography (CT) dataset with annotations of the categorization and localization of ICH considerably limits the development of deep learning-based identification and localization methods. …”
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Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

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