Application of Quantitative Interpretability to Evaluate CNN-Based Models for Medical Image Classification by Nuan Cui, Yingjie Wu, Guojiang Xin, Jiaze Wu, Liqin Zhong, Hao Liang

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A Practical Methodology for Accuracy and Quality Evaluation of Structured Light Systems in Automotive Inspection by Antonio Lagudi, Umberto Severino, Loris Barbieri, Fabio Bruno

“…This paper presents a practical metric-based methodology for evaluating the dimensional accuracy and point cloud quality of SLSs targeted at automotive inspection applications. …”
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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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Evaluation of atmospheric correction algorithms for salt lake water assessment: Accuracy, band-specific effects, and sensor consistency. by Changjiang Liu, Fei Zhang, Chi-Yung Jim, Saheed Adeyinka Oke, Elhadi Adam

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A Systematic Review of the Applications of Electronic Nose and Electronic Tongue in Food Quality Assessment and Safety by Ramkumar Vanaraj, Bincy I.P, Gopiraman Mayakrishnan, Ick Soo Kim, Seong-Cheol Kim

“…This review explores the principles, advantages, and applications of e-nose and e-tongue systems in food quality assessment. …”
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An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems by Marwa M. Emam, Mohammed R. Saad, Mina Younan, Essam H. Houssein

“…Additionally, EDO-LFOL is tested on three combinatorial optimization challenges: the job shop scheduling problem (JSSP), quadratic assignment problem (QAP), and bin packing problem (BPP), to evaluate its applicability. Furthermore, EDO-LFOL addresses four distinct design engineering challenges: the pressure vessel design, three-bar truss, welded beam, and speed reducer. …”
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A Low-Cost Evaluation Tool for Synchronization Methods in Three-Phase Power Systems by Marcelo E. Reyes, Pedro E. Melin, Eduardo Espinosa, Carlos R. Baier, Cristian Pesce, Benjamín Cormack

“…The evaluation tool confirms the algorithms’ performance and shows that the execution time of DSOGI-PLL is 91% longer than that of SRF-PLL, which is well known in the literature.…”
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Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization by Hang Fu, Qingyu Wang, Takuji Nakashima, Asahi Kawasaki, Chenguang Lai, Keigo Shimizu, Rahul Bale, Makoto Tsubokura

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Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis by Mehrsa Moannaei, Faezeh Jadidian, Tahereh Doustmohammadi, Amir Mohammad Kiapasha, Romina Bayani, Mohammadreza Rahmani, Mohammad Reza Jahanbazy, Fereshteh Sohrabivafa, Mahsa Asadi Anar, Amin Magsudy, Seyyed Kiarash Sadat Rafiei, Yaser khakpour

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Hybrid multi objective marine predators algorithm based clustering for lightweight resource scheduling and application placement in fog by R. Baskar, E. Mohanraj

“…The scheduling difficulties are multi-objective in nature, since they must handle the issues of avoiding resource waste, network latency, and maximising Quality of Service (QoS) on fog nodes. In this research, the Hybrid Multi-Objective Marine Predators Algorithm-based Clustering and Fog Picker (HMMPACFP) Technique is developed as a combinatorial model for tackling the problem of fog node allocation, with the goal of achieving dynamic scheduling using lightweight characteristics. …”
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Modern formula of quality. Foundry production and metallurgy by S. V. Yurchenko

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Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

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OP-Gen: A High-Quality Remote Sensing Image Generation Algorithm Guided by OSM Images and Textual Prompts by Huolin Xiong, Zekun Li, Qunbo Lv, Baoyu Zhu, Yu Zhang, Chaoyang Yu, Zheng Tan

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Evaluation of the Effect of Ideological and Political Education on Psychological Crisis Intervention for University Students Based on Data Mining Algorithm by Hexia Yao, Mohd. Dahlan Hj. A. Malek

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Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

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Application of machine learning assisted multi-variate UV spectrophotometric models augmented by kennard stone clustering algorithm for quantifying recently approved nasal spray co... by Ahmed Emad F. Abbas, Mohammed Gamal, Ibrahim A. Naguib, Michael K. Halim, Basmat Amal M. Said, Mohammed M. Ghoneim, Mohmeed M. A. Mansour, Yomna A. Salem

“…Favorable results across all metrics affirmed the method’s eco-friendliness, real-world applicability, and cost-effectiveness, supporting sustainable development goals in pharmaceutical quality control processes.…”
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A Systematic Analysis of Neural Networks, Fuzzy Logic and Genetic Algorithms in Tumor Classification by Ahmed Al-Ashoor, Ferenc Lilik, Szilvia Nagy

“…This study explores existing research on neural networks, fuzzy logic-based models, and genetic algorithms applied to brain tumor classification. A systematic review of 53 studies was conducted following PRISMA guidelines, covering search strategy, selection criteria, quality assessment, and data extraction. …”
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Internet of Things Based Application Placement Technique in Fog Environment by N Malathy, M Ruba, S Vinothini

“…Despite its potential, the rapid increase in IoT applications with diverse resource and quality-of-service (QoS) requirements presents significant challenges in application deployment and resource optimization. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…For cost-effectiveness, quality was independently assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) and Philips criteria. …”
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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…This study evaluates various base ML algorithms and stacking ensemble classifiers (meta-classifiers) using data from 90 groundwater samples collected in District Bagh, Azad Kashmir, Pakistan. …”
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