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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Sentiment Analysis of User Reviews of the KitaLulus Application on Google Play Store using the Support Vector Machine (SVM) Algorithm by Ahmad Syaifudin Agil Rafsanjani, Diana Laily Fithri, Supriyono Supriyono

“…The advancement of digital technology has driven the increasing use of job search applications such as KitaLulus. User reviews on the Google Play Store serve as a crucial source for evaluating service quality and user satisfaction. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…This study focuses on multivariate data mining-driven algorithms, and is committed to the design and application of a TCM teaching resource recommendation system. …”
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A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

“…This study introduces a novel evaluation framework for predicting web page performance, utilizing state-of-the-art machine learning algorithms to enhance the accuracy and efficiency of web quality assessment. …”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

“…This paper introduces a novel, computationally efficient range migration algorithm (RMA) specifically designed for medical microwave imaging applications. …”
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Application of NIR Spectral Standardization Based on Principal Component Score Evaluation in Wheat Flour Crude Protein Model Sharing by Jing Tian, Xinyu Chen, Zhennan Liang, Wenliang Qi, Xiaohuan Zheng, Daoli Lu, Bin Chen

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Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

“…The simulation results show that the proposed algorithm always outperforms the QoS performance, especially for real-time applications.…”
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Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

“…This popular and fast-developing technology aims to increase vehicle safety through various sensors and advanced-level Artificial Intelligence (AI)- based algorithms. The camera is one of the vital components of AM systems, which captures real-time videos, processes, encodes, packetizes and transfers them to different processing units for further applications. …”
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Performance evaluation of an adopted model based on big-bang big-crunch and artificial neural network for cloud applications by Pradeep Rawat, Robin Singh Bhadoria, Punit Gupta, Priti Dimri, G. P. Saroha

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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…Thus, this study can be used as a practical guide in making strategic decisions to improve the quality of service and user satisfaction of the Access by KAI application.…”
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Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection by Xinyi Chai, Zijun Wu, Wei Li, Haowei Fan, Xinyang Sun, Jing Xu

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Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem by Binh Minh Nguyen, Thieu Nguyen, Quoc-Hien Vu, Tran Huy Hung, Tran Hoang Hai, Huynh Thi Thanh Binh, Van-Dang Tran

“…The comparisons demonstrate that DhoH is better than other meta-heuristic algorithms in most cases and determines high-quality solutions with fewer control parameters. …”
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Predicting Quail Egg Quality Using Machine Learning Algorithms by BI Yildiz, K Eskioğlu, D Özdemir, M Akşit

“…This study strongly highlights the applicability and flexibility of machine learning in evaluating quail egg quality. …”
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Enhanced water quality prediction: Application of deep neural networks and adaptive neuro-fuzzy inference systems to assess calcium concentration by Moussa Attia, Zied Driss, Hany F. Abd-Elhamid, Ridha Ennetta

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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…However, minor additions to the evaluation methods can improve both the applicability and usefulness of the algorithms.…”
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Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease by Ruijie Zhao, Yun Wang, Jiaru Wang, Zixing Wang, Ran Xiao, Ying Ming, Sirong Piao, Jinhua Wang, Lan Song, Yinghao Xu, Zhuangfei Ma, Peilin Fan, Xin Sui, Wei Song

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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 Layered Software Architecture for the Development of Smart Mobile Distributed Systems Oriented to the Management of Emergency Cases by Lizbeth Yesenia Contreras Rivas, Eduardo López Domínguez, Yesenia Hernández Velázquez, Saúl Domínguez Isidro, María Auxilio Medina Nieto, Jorge De La Calleja

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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs) by Kholidiyah Masykuroh, Hendrawan, Eueung Mulyana, Farhan Krishna

“…However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…The power management controller is a combination of the twisting sliding-mode controller (TSMC) and Modified Pufferfish Optimization Algorithm (MPOA). The proposed method is implemented, and the application results are matched with the Mountain Gazelle Optimizer (MSO) and Beluga Whale Optimization (BWO) Algorithm by evaluating the PV power output, EV power, battery-power and battery-energy utilization, grid power, and grid price to show the merits of the proposed work.…”
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