Reducing Quantum Error Correction Overhead With Versatile Flag-Sharing Syndrome Extraction Circuits by Pei-Hao Liou, Ching-Yi Lai

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Correlation between hemodynamics assessed by FAI combined with CT-FFR and plaque characteristics in coronary artery stenosis by Bo Duan, Shuqing Deng, Runyang Xu, Yongsheng Wang, Kewu He

“…A negative correlation was observed between the minimum CT-FFR among three main coronary arteries (LAD, LCX, RCA) and CAD-RADS classification, while both ΔCT-FFR and FAI were positively correlated with CAD-RADS classification (p < 0.05). …”
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Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things by Hadeel Mohammed, Mustafa Ibrahim, Ahmed Raoof, Amjad Jaleel, Ayad Q. Al-Dujaili

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Intelligent Fault Detection and Self-Healing Mechanisms in Wireless Sensor Networks Using Machine Learning and Flying Fox Optimization by Almamoon Alauthman, Abeer Al-Hyari

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Discovery of Characteristic Patterns from Transactions with Their Classes by Shigeaki Sakurai

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A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm by Efri Sandi, Aodah Diamah, Pitoyo Yuliatmojo, Baso Maruddani

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Parameter Estimation for Dynamical Systems Using a Deep Neural Network by Tamirat Temesgen Dufera, Yadeta Chimdessa Seboka, Carlos Fresneda Portillo

“…If the right hand side function of the system is smooth and the system have equal numbers of unknowns and parameters, the algorithm solves the algebraic equation at the discrete point where absolute error between the neural network solutions and the measured data is minimum. This improves the accuracy and reduces computational time. …”
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Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm by M. Gorji-Bandpy, A. Mozaffari

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MIMO Lyapunov Theory-Based RBF Neural Classifier for Traffic Sign Recognition by King Hann Lim, Kah Phooi Seng, Li-Minn Ang

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An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm by Aushim Koumar, Tine Tysmans, Rajan Filomeno Coelho, Niels De Temmerman

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An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems by Neda Hantash, Tamer Khatib, Maher Khammash

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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

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Sistem Informasi Persediaan Obat Pada PT Mega Esa Farma Dengan Metode Extreme Programming by Biktra Rudianto, Sheren Prisscilya

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A Novel Approach for Enhancing Plant Leaf Classification With the Binary Cuckoo Search Algorithm by Mohammad Subhi Al-Batah, Mohammad Ryiad Al-Eiadeh, Yazan Alnsour

“…Computer vision plays a crucial role in current day tasks due to its wide range of merits and applications in many fields like disease diagnosis, medical decisions, military, security, scientific applications, and business. …”
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Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts by Tinofirei Museba, Fulufhelo Nelwamondo, Khmaies Ouahada, Ayokunle Akinola

“…To accurately and efficiently handle recurring concepts with minimum computational overheads, we propose a novel and evolving ensemble method called Recurrent Adaptive Classifier Ensemble (RACE). …”
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Heart Disease Diagnostics Using Meta-Learning-Based Hybrid Feature Selection by Kaushalya Dissanayake, Md Gapar Md Johar

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Beyond the Scoreboard: A Machine Learning Investigation of Online Games’ Influence on Jordanian University Students’ Grades by Mohammad Alshraideh, Abeer Abdel-Jabbar Abu-Zayed, Martin Leiner, Iyad Muhsen AlDajani

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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Still, it exhibits a prolonged convergence rate, taking much time to execute because of long iterations, consuming a large chunk of resources, and suffering local minimum problems. All these issues have emerged from the expansion of hidden layers and their parameters. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…Automated segmentation of COVID-19 lung computed tomography (CT) scans is a crucial diagnostic tool that aids physicians in providing accurate and timely diagnoses, as it contains significant radiomics information. …”
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A big data approach to mitigating the MAUP in measuring excess commuting by Cehong Luo, Yujie Hu, Fahui Wang

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