Proposing a Graphic Simulator for an Upper Limb Exoskeleton Robot by Thanh-Trung Nguyen, Tien Nguyen, Ha Pham, Tam Bui

“…The study used the proposed optimization-based algorithm to solve the inverse kinematics (IK) problem for the redundant robot model. …”
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Improved Combinatorial Benders Decomposition for a Scheduling Problem with Unrelated Parallel Machines by Francisco Regis Abreu Gomes, Geraldo Robson Mateus

“…For the first set the proposed method performs 21.85% on average faster than the standard implementation of the Benders algorithm. For the second set the proposed method failed to find an optimal solution in only 31 in 600 instances, obtained an average gap of 0.07%, and took an average computational time of 377.86 s, while the best results of the other methods were 57, 0.17%, and 573.89 s, respectively.…”
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Calibration and Uncertainty Analysis of Freundlich and Langmuir Isotherms Using the Markov Chain Monte Carlo (MCMC) Approach by Haniyeh Sharifi Moghadam, Saeed Alimohammadi

“…However, the Gibbs algorithm exhibited a higher convergence speed, making it suitable for scenarios where computational efficiency is a priority. …”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…With the development of electronic computers, the previously unachievable optimization of engineering structures is now possible, while the traditional optimization methods cannot meet the requirements of modern computing due to the implementation constraints. …”
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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

“…A model predictive control (MPC) method based on recursive backpropagation (RBP) neural network and genetic algorithm (GA) is proposed for a class of nonlinear systems with time delays and uncertainties. …”
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Results of transgastric drainage of fluid collections and postnecrotic pancreas cysts in patients with acute pancreatitis by V. G. Lubyansky, V. V. Nasonov

“…Based on the analysis of the results of treatment of patients with postnecrotic pancreatic cysts and acute peripancreatic fluid collections, the data of multispiral computed tomography and endoscopic ultrasonography at the stages of cyst formation, options and optimal timing of endoscopic transgastric drainage were determined. …”
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PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses by Xiaoyong Liu, Hui Fu

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Does the COVID-19 pandemic affect the asset allocation performance? Evidence from a composite asset selection approach by Jung-Bin Su

“…The proposed approaches in this study can be embedded in a computer as an asset allocation algorithm of Robo-advisers.…”
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Trajectory Tracking Nonlinear Hybrid Control of Automated Guided Vehicles by Antonio Sánchez-Rodríguez, Eduardo Bayona, J. Enrique Sierra-García, Matilde Santos

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Distribution Network Design for Fixed Lifetime Perishable Products: A Model and Solution Approach by Z. Firoozi, N. Ismail, Sh. Ariafar, S. H. Tang, M. K. A. M. Ariffin, A. Memariani

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Investigation on Photovoltaic Array Modeling and the MPPT Control Method under Partial Shading Conditions by Jianbo Bai, Leihou Sun, Rupendra Kumar Pachauri, Guangqing Wang

“…The advantages of the OPSO include the following: compared with the traditional PSO algorithm, the computing time is greatly shortened; and it is easy to achieve the MPPT with a low-cost microprocessor. …”
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Solving the traffic signaling problem using the iterated local search metaheuristic by Elvir Misini, Uran Lajçi, Kadri Sylejmani, Atlantik Limani, Fjolla Gashi, Lavdim Kurtaj, Arben Ahmeti, Erzen Krasniqi

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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…Through machine learning and deep learning techniques, AI leverages computational algorithms and large datasets to enhance medical imaging interpretation and support clinical decision-making. …”
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Nonlinear forced vibration analysis of FG-CNTRC plates based on the 3D elasticity by Y. Gholami, R. Ansari, H. Rouhi

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Contrast-enhanced ultrasound radiomics model for predicting axillary lymph node metastasis and prognosis in breast cancer: a multicenter study by Shi Yu Li, Yue Ming Li, Yong Qi Fang, Zhi Ying Jin, Jun Kang Li, Xiao Meng Zou, Si Si Huang, Rui Lan Niu, Nai Qing Fu, Yu Hong Shao, Xuan Tong Gong, Mao Ran Li, Wei Wang, Zhi Li Wang

“…The prediction efficiency of ALNM was assessed to identify the optimal model. In the meantime, Radscore was computed and integrated with immunoinflammatory markers to forecast Disease-Free Survival (DFS) in breast cancer patients. …”
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Tracking and Disturbance Suppression of the Radio Telescope Servo System Based on the Equivalent-Input-Disturbance Approach by Lei Yang, Na Wang, Zhiyong Liu, Ning Li

“…The algorithm consists of the equivalent-input-disturbance (EID) approach and the optimal control method. …”
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Enhancing the effectiveness of wireless sensor networks through consensus estimation and universal coverage by Hua Tian

“…Abstract Wireless sensor networks (WSNs) consist of numerous sensor nodes equipped with sensing, computing, and communication capabilities, where battery power is a critical limitation. …”
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Medical Imaging Foundation Models: Paradigm Innovation in Precision Oncology by LIU Zaiyi, ZHAO Zhihe, SHI Zhenwei

“…Based on the research background of artificial intelligence (AI) large-scale models, this article systematically reviews the current research status of medical imaging large-scale models from three key dimensions: the construction of large-scale medical imaging datasets, optimization of large-scale model algorithms, and computational resource requirements. …”
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Designing of Loss Optimum Regulator for Control of D.C. Electric Drive with Varying Inertia Moment in CoDeSys Programming System by S. O. Novikov, A. V. Paschenko

“…Programming medium operated at a personal computer in Windows medium. As CoDeSys provides a machine code it is rather easy to support its programming and its minimum support presupposes selection of IN/OUT and program debugging functions.The investigations have been directed on optimization of an electric drive operation with varying inertia moment. …”
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An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids by Irfan Ali Channa, Dazi Li, Mohsin Ali Koondhar, Fida Hussain Dahri, Ibrahim Mahariq

“…In the optimized-kernel SVM model, computing power is enhanced for classifying multiple PQ events based on the local density and leave-one-out (LOO) algorithm. …”
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