Artificial intelligence-driven metabolic engineering is applied to the development of active ingredients in Traditional Chinese Medicine by Zhang Guoqi, Wang Juan

“…In this paper, we introduce AI-driven machine learning algorithms in prediction models, and also review recent research progress on AI-assisted metabolic engineering design and production of high-value compounds, focusing on how to use AI methods to achieve directed evolution of strains.…”
Get full text

Physiological signal analysis and open science using the Julia language and associated software by George Datseris, Jacob S. Zelko, Jacob S. Zelko

“…Julia can significantly accelerate both research and software development due to its high-level interactive language and high-performance code generation. …”
Get full text

Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges by Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu

“…Despite recent advances, challenges persist in data interoperability, real-time optimization complexity, scalability, and forecasting uncertainty. Future research should emphasize adaptive AI algorithms, integration of digital twin platforms with control systems, hybrid optimization frameworks, and renewable energy recovery technologies. …”
Get full text

Artificial intelligence in de novo protein design by Jiawei Yao, Xiaogang Wang

“…By leveraging machine learning algorithms trained on extensive sequence and structure datasets, scientists have been able to make de novo protein design a practical reality. …”
Get full text

A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

“…This shift allows dynamic routing and improved QoS mechanisms, with research exploring multi-path routing. This paper proposes an extension to the Fluid Flow analysis model for complex networks. …”
Get full text

Design and Prototype of a Local Relay Fault Detection System for Three Phase Power Lines. by Lutaama, Samuel

“…The methodology covers system architecture, fault detection algorithms, and the prototype development process, which integrates sensors and a user interface for monitoring. …”
Get full text

Mathematisation of specialised disciplines as the basis for fundamentalising IT training in universities by E. A. Perminov, V. A. Testov

“…The significance of structures and algorithms, which are prevalent in discrete mathematics for training highly skilled programmers, is emphasised. …”
Get full text

Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources by Akharakit Chaithanakulwat, Teerawut Savangboon, Nuttee Thungsuk, Taweesak Tanaram, Papol Sardyong

Get full text

A Review of Vehicle Accident Detection and Notification Systems Based on Machine Learning Techniques by Duaa Hadi Nassar, Jamal Mustafa Al-Tuwaijari

“… The rabid growth of the vehicles accidents on our roads are increasing as well as the number of human lives lost and the costs of repairing damages due to these accidents in order to reduce the dangers associated with accidents. A lot of researchers and specialists turn to electronic systems based on machine learning, deep learning techniques algorithms or any other artificial intelligence methods to detect and generate an emergency signal can reduce the time gap between the accident happening and the arrival of medical help. …”
Get full text

Elevation of transaminases. What if not the liver? by I. V. Sharkova

Get full text

A Computational Sketch-Based Approach Towards Optimal Product Design Solutions by Paschalis Charalampous

Get full text

Pipkin type III fractures: a narrative review of literature and comparative opinion on ORIF vs. arthroplasty by Sujan Shakya, Qing Zhang, Yi Wen, Xinag Wen, Long Cheng

“…This comprehensive review on Pipkin type III demonstrates a throughout exploration of the existing research publications and case studies, focusing on current understanding treatment management strategies, outcome associated and decision-making frameworks with algorithms for decision schemes. …”
Get full text

What Strategy Central Nervous System Uses to Perform a Movement Balanced? Biomechatronical Simulation of Human Lifting by Ali Leylavi Shoushtari

“…In this research a new objective function based on ankle torques during movement is implemented to guarantee the stability of motion. …”
Get full text

Development of the Object-Oriented Dynamic Simulation Models Using Visual C++ Freeware by Alexander I. Kozynchenko, Sergey A. Kozynchenko

“…This approach seems to be justified in the case of complex research object-oriented dynamical models having nonstandard structure, relationships, algorithms, and solvers, as it allows developing solutions of high flexibility. …”
Get full text

Optimized Ensemble Model to Predict the Compatibility of Automobiles With Hybrid Electric Vehicles by Rohit Bajaj, Deepika Sharma, Ruchika Gupta, Shonak Bansal, Payal Patial, Krishna Prakash

“…Machine learning (ML) algorithms play a crucial role in optimizing and assessing the compatibility of typical automobiles with HEVs. …”
Get full text

Computational intelligence investigations on evaluation of salicylic acid solubility in various solvents at different temperatures by Adel Alhowyan, Wael A. Mahdi, Ahmad J. Obaidullah

“…Abstract This research shows the utilization of various tree-based machine learning algorithms with a specific focus on predicting Salicylic acid solubility values in 13 solvents. …”
Get full text

Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping by Alexander Gresch, Martin Kliesch

“…Abstract Estimation of the energy of quantum many-body systems is a paradigmatic task in various research fields. In particular, efficient energy estimation may be crucial in achieving a quantum advantage for a practically relevant problem. …”
Get full text

Multi-level data fusion enables collaborative dynamics analysis in team sports using wearable sensor networks by Zi Zhuo Wang, Xiaoyu Xia, Qiaonan Chen

“…Abstract This research proposes a novel multi-level data fusion method for analyzing collaborative dynamics in team sports using wearable sensor networks. …”
Get full text

Multi-agent system of a network enterprise based on the Industrie 4.0 digital platform by V. А. Kazakov, Yu. F. Telnov

“…The main results of the article are the construction of the component composition diagram of the digital platform conceptual model, algorithms for generating a request to produce product components and its assessment by software agents of the digital platform in the form of UML sequence diagrams. …”
Get full text

Beam Tracing with Refraction by Marjan SIKORA, Ivo MATELJAN, Nikola BOGUNOVIĆ

Get full text