Accelerated Restricted Additive Schwarz method for asynchronous processing by A. Ben bouzid, Y. Khali, S. Khallouq, N. Nagid

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Application of the Optimised Pulse Width Modulation (PWM) Based Encoding-Decoding Algorithm for Forecasting with Spiking Neural Networks (SNNs) by Sergio Lucas, Eva Portillo

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Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

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Numerical analysis of heat and mass transfer in eyring-powell fluid employing python with convective boundary conditions by Chenxu Duan, Muflih Alhazmi, Zahoor Shah, Hamza iqbal, Maryam Jawaid, Mhassen E.E. Dalam, Mohammed M.A. Almazah

“…Using a Python-based boundary value problem (BVP) solver allows us to obtain accurate numerical solutions while achieving computational efficiency and automatic error control. …”
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A new approach in prevention and correction of intradialysis hypotension in patients on maintenance hemodialysis by I. Yu. Drachev, V. Yu. Shilo, G. S. Dzhulay

“…Then, in the following 4 procedures, in addition to standard methods, a computer algorithm was used to automatically regulate the ultrafiltration (UF) rate: the automatic pressure monitoring system (biologic rr comfort) with continuous monitoring of blood pressure throughout the procedure; BP was recorded before and after the HD procedure, as well as at least once every 5 minutes during 3 initial procedures; and starting from the 4th procedure, the intervals were determined by the algorithm automatically. …”
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Consistent, highly throughput and space scalable distributed architecture for layered NoSQL data store by Adam Krechowicz, Stanisław Deniziak, Grzegorz Łukawski

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Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…We refined Automatic Identification System data via four data-cleaning processes and applied a statistical distance measurement to assess ship trajectory similarity. …”
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Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective by Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot

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Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation by Yoritaka Harazono, Haruko Shimono, Kikumi Hata, Toutai Mitsuyama, Takaaki Horinouchi

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Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control by Ramesh Arvind Naagarajan, Kiran Kumar Sathyanarayanan, Nadja Bauer, Stefan Streif, Stefan Streif

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Modeling and Implementing Two-Stage AdaBoost for Real-Time Vehicle License Plate Detection by Moon Kyou Song, Md. Mostafa Kamal Sarker

“…License plate (LP) detection is the most imperative part of the automatic LP recognition system. In previous years, different methods, techniques, and algorithms have been developed for LP detection (LPD) systems. …”
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Classification of Bitter gourd leaf disease using deep learning architecture ResNet50 by Artika Artika, Wikky Fawwaz Al Maki

“…This research contributes to the development of methods for detecting bitter melon leaf disease using computer vision and machine learning, achieving high accuracy and supporting automatic disease diagnosis. …”
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Real-Time Feedback in Swimming Exercises Using Embedded Devices in Water by Vladut-Alexandru Dobra, Ionut-Marian Dobra, Silviu Folea, Radu Sabau

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Automated Medical Image Captioning Using the BLIP Model: Enhancing Diagnostic Support with AI-Driven Language Generation by Enas Abbas Abed, Taoufik Aguili

“…The paper under analysis analyzes the BLIP model, which is an automatic medical image clinical captioning model. …”
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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

“…Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model.Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models .The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving.However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment.Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed.Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model.The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient.A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards.Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm.A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification.The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database.…”
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Learning Swimming Techniques by Means of Real-Time Monitoring with Embedded Devices by Vladut-Alexandru Dobra, Ionut-Marian Dobra, Silviu Folea

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Combining Long-Term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML by Subhash Ariyadasa, Shantha Fernando, Subha Fernando

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Design of DRFM jamming simulator using virtual instrument by Wang Min, Jiang Yanwen, Fan Hongqi

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DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos Nucifera by Miit Daga, Dhriti Parikh, Swarna Priya Ramu

“…The results point out the promise of the model to improve precision agriculture through an AI-based, scalable, and efficient disease monitoring system.…”
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DETERMINATION OF THE LEVEL OF OVERVOLTAGE IN THE SECONDARY CIRCUITS OF SUBSTATIONS WHEN LIGHTNING IMPULSE VOLTAGE IS DISTRIBUTED IN HIGH-VOLTAGE BUSES by V. I. Glushko, E. A. Deryugina

“…Estimation of the level of overvol tage in the system “wire – ground” for the case of failure of a bus nonlinear surges and arresters when lightning impulse of voltage is distributed on the buses along their length without deformation has been fulfilled. …”
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