SynergyAI: A Human–AI Pair Programming Tool Based on Dataflow by Le Jiang, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon

“…SynergyAI also features an AI assistant that utilizes scatter plot matrices and data correlation analysis to help programmers select data and optimize model structures. Experimental results demonstrate that, through human–AI collaboration, SynergyAI achieved an accuracy of 85% in predicting mechanical failures in a chocolate factory, providing an efficient and powerful tool for programming and data analysis.…”
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The finite element methods on oral rehabilitation: New trend for endodontically treated teeth by Juliana Santos Oliveira, Érica Alves Gomes, Carolina de Andrade Lima Chaves, Yara T. Côrrea Silva Sousa

“…The FEA is a versatile, low-cost and efficient approach for reliable evaluation of complex structures, as oral rehabilitation treatments.   …”
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Methylations with methanol via bioinspired catalytic C–O bond cleavage by Qing Huang, Yao Xiang, Yaqi Wu, Yuzhu Zheng, Rong-Zhen Liao, Youwei Xie

“…Abstract Nature has a delicate system for catalysis due to optimization through evolution, which often displays unparalleled efficiency and selectivity. “Learning from nature” is a popular and effective approach in designing alternative reactions and catalysts when traditional strategies fail. …”
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An Effective Algorithm for Collision Resolution in Security Policy Rules by Sergey V. Morzhov, Valeriy A. Sokolov

“…In addition, the authors present a new efficient algorithm for detecting and resolving collisions in firewall rules by the example of the Floodlight SDN controller.…”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. …”
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ENSURING STATE SOVEREIGNTY AS A GUARANTEE OF THE COUNTRY'S ECONOMIC DEVELOPMENT by Iryna Drobush, Liudmila Kornuta, Mykola Ukrainets

“…Ensuring Ukraine's state sovereignty as an independent, democratic, social and legal state is a complex, multifaceted and multi-level process that includes such key areas of activity as: guaranteeing the stability of the Ukrainian state; developing all elements of Ukraine's legal system; improving the efficiency of the organisation and functioning of the entire system of state power, not just individual branches and/or bodies of state power; strengthening the economic, cultural, social, political, environmental and security potential of the state; positioning Ukraine on the international and domestic arena as an active player capable of solving complex problems at the national and global levels and capable of predictable and reliable international co-operation; strengthening the democratic nature of the Ukrainian state and guaranteeing the foundations of Ukraine's constitutional order. …”
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Comparative analysis of security models in cloud platforms by Semen M. Levin

“…The article sheds light on current trends and technologies in cloud data protection, including the use of artificial intelligence and machine learning to enhance threat detection efficiency and the implementation of confidential computing and blockchain technologies to improve data protection. …”
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A Comparative Study of Spectrophotometric Determination of Malathion With Ammonium Meta Vanadate and Potassium Bromate by J. Joselin Zibia, Rajkumar D.

“…The results showed that potassium bromate exhibits rapid, stable color complex and linearity in absorbance versus concentration study when compared with ammonium meta vanadate.…”
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Optimization of Photonic Nanocrystals for Invisibility Using Artificial Intelligence by Z. Dorrani

“…ResNet can assist designers in selecting suitable materials and determining the optimal dimensions and arrangements of photonic nanostructured crystals for invisibility by extracting complex and nonlinear features from input data. …”
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Research Progress on Mechanoenzymatic Reactions by CUI Tianyu, XIN Jiaying, SUN Lirui, LI Yue, LIU Jingxue, ZHANG Jianxiong, XIA Chungu

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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…With the cooperation of advanced sensing technology, cloud robot technology for dynamically offloading complex data tasks to cloud processing can improve information transfer efficiency and enhance intelligence level of inspection robot system. …”
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Chromosome-Level Genome Assembly and Comparative Transcriptome Analyses Identified Energy Conservation as a Key Strategy for Anadromous Adaptation of the Hilsa Shad, <i>Tenualosa i... by Kishor Kumar Sarker, Liang Lu, Roland Nathan Mandal, Md Rashedur Rahman, Anirban Sarker, Mohammad Abdul Baki, Chenhong Li

“…We detected 1298 and 252 differentially expressed transcripts between sea and freshwater in the liver and muscle of <i>T. ilisha</i>, respectively, reflecting habitat and organ-specific adaptations. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…This facilitates cross-dataset system evaluation, resulting in an efficient system for an unseen image diagnosis. To avoid the problem of “curse of dimensionality”, the most discriminant feature information is selected based on proposed minimum redundancy maximum relevance (MRMR) algorithm. …”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Existing methods for disease detection and severity classification struggle to quickly and accurately segment and quantify diseased areas on leaves, particularly in complex backgrounds. …”
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ATTRN: Acoustic Information Encoder and Temperature Field Reconstruction Decoder Network for Boiler Temperature Field Reconstruction by Kunyu Wu, Keqi Ni, Liwei Chen, Hengyuan Xu, Junqiao Wang, Jingyi Zhou, Xinzhi Zhou

“…The proposed approach avoids complex traditional mathematical processing and empirical parameter selection, enhancing both accuracy and generalization. …”
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Numerical insights into enhanced heat transfer mechanisms in TiO2-Au ethylene glycol nanofluids within Darcy porous media using fractional calculus by Mumtaz Khan, Dianchen Lu, Mudassar Imran, Muhammad Shoaib Anwar

“…The complex fractional partial differential equations governing the system are solved numerically using the finite difference method in combination with the L1 algorithm, ensuring an efficient and accurate solution process. …”
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Hierarchical Service Composition via Blockchain-enabled Federated Learning by Li Huang, Lu Zhao, Yansong Liu, Yao Zhao

“…HSC introduces a novel framework, collaborative service selection methods, and a smart selection algorithm, demonstrating remarkable composition efficiency in extensive simulations compared to the baseline approach.…”
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Secure Cooperative Dual-RIS-Aided V2V Communication: An Evolutionary Transformer–GRU Framework for Secrecy Rate Maximization in Vehicular Networks by Elnaz Bashir, Francisco Hernando-Gallego, Diego Martín, Farzaneh Shoushtari

“…To address the inherent complexity of time-varying wireless channels, we propose a novel evolutionary transformer-gated recurrent unit (Evo-Transformer-GRU) framework that jointly learns temporal channel patterns and optimizes the RIS reflection coefficients, beam-forming vectors, and cooperative communication strategies. …”
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Development of Automatic Welding System for Offshore Platform Pile Pipe by XU Jia-zhong, ZHANG Yu, YOU Bo, LI Dong-jie, FU Wei

“…Twin arc welding system for offshore platform pile pipe with multipoint dual power and a single molten pool is put forward in this paper in order to solve the problems of low producing efficiency and operating inconvenience in complex environment. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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