Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm by Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah, Tan Ching Sin, Tengku Juhana Tengku Hashim

“…This paper addresses the critical challenge of optimizing the energy efficiency of induction motors, which are pivotal components across diverse industrial sectors due to their substantial energy consumption. …”
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Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm by Jifeng ZHANG, Changjian CHEN, Yuteng LI, Xiran YOU, Ziben MA

“…MethodsBased on the center of gravity reverse learning strategy, the improved PSO algorithm can dynamically adjust learning factors and the value of the adaptive inertia weight, thus improving the global search capability and convergence efficiency effectively. The performance of the improved PSO algorithm was verified using the typical three-, five-, and seven-layered geoelectric models constructed in this study.Results and ConclusionsThe results of this study indicate that for the five- and seven-layered geoelectric models, the damped least squares method yielded average inversion errors of 0.34% and 4.68%, respectively, while the improved PSO algorithm yielded average inversion errors of 0.21% and 0.87%, respectively. …”
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Oil Development Engineering Company, Tehran, Iran by Seyed Ali Mohammad Tajalli, Mazda Moattari, Vahid Naghavi, Mohammad Reza Salehizadeh

“…Moreover, machine learning models, including K-nearest neighbors (KNN) and support vector machines (SVM), enhance anomaly detection precision, allowing for early identification and localization of potential leaks.Ultimately, the proposed framework brings several key benefits to pipeline management, including early anomaly detection, real-time data integration, predictive maintenance, and regulatory compliance. …”
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Bioinformatics-Driven Optimization of Wheat Breeding by Integrating Genomic Data Analysis with Phenotypic Traits by Hussein Ramy Riad, Alkhafaij Mahdi Abdulkhudur, Madhavi Karanam

“…By applying Principal Component Analysis (PCA) to reduce the dimensionality of highly complex datasets and utilize Linear Mixed Models (LMM) to solve the complex traits problem with the consideration of the fixed and random effects, respectively, we have successfully improved trait prediction and QTL identification. …”
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Optimization of extraction in supercritical fluids in obtaining Pouteria lucuma seed oil by response surface methodology and artificial neuronal network coupled with a genetic algo... by Alex Chauca-Cerrutti, Marianela Inga, José Luis Pasquel-Reátegui, Indira Betalleluz-Pallardel, Gustavo Puma-Isuiza

“…The optimal parameters were 45°C, 300 bar, and 6 mL/min, obtaining 97.35% of the total oil content. The RSM and ANN+GA models showed R2 values of 0.9891 and 0.9999 respectively, indicating that both models exhibited a good fit to the experimental data. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…The interpretability of AI models is vital to building trust with healthcare professionals and facilitating their adoption. …”
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Applications of artificial intelligence and computational intelligence in hydraulic optimization of centrifugal pumps: a comprehensive review by Yuanhui Xu, Xingcheng Gan, Ji Pei, Wenjie Wang, Jia Chen, Shouqi Yuan

“…Ultimately, such progress will contribute to more sustainable and reliable energy utilisation in diverse industrial applications.Highlights Comprehensive review of AI and CI applications in centrifugal pump hydraulic optimisation.Analysis of machine learning methods for predictive modelling and optimisation.Insights into integrating intelligent algorithms with CFD for high-dimensional, multi-objective optimisation.Identification of future research directions to enhance precision and efficiency in pump design methodologies.…”
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Artificial intelligence in imaging for liver disease diagnosis by Chenglong Yin, Chenglong Yin, Huafeng Zhang, Jin Du, Jin Du, Yingling Zhu, Yingling Zhu, Hua Zhu, Hua Zhu, Hongqin Yue, Hongqin Yue

“…For liver steatosis, AI-assisted imaging methods have improved sensitivity and grading consistency, while in HCC detection and characterization, AI models have enhanced lesion identification, classification, and risk stratification across imaging modalities. …”
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About Application the Tyre-Road Adhesion Determination of a Vehicle Equipped with an Automated System of Brake Proportioning by D. N. Leontiev, I. N. Nikitchenko, L. A. Ryzhyh, S. I. Lomaka, O. I. Voronkov, I. V. Hritsuk, S. V. Pylshchyk, O. V. Kuripka

“…A method for efficiency estimation of the vehicle braking equipped with an automated brake proportioning system is graphically presented in the paper. …”
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Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery by Tao Jiang, Maximilian Freudenberg, Christoph Kleinn, Timo Lüddecke, Alexander Ecker, Nils Nölke

“…The emergence of deep learning techniques, such as detection transformer models (DETR), offers new ways to analyse images more efficiently and accurately. …”
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Comprehensive Review of Wearable Antennas With Flexible Periodic Structures for Body-Effect Mitigation by Adel Ashyap, Raad Raad, Faisel Tubbal, Wajid Ali Khan, Suhila Abulgasem

“…Recent advancements in wireless technology have prompted the development of wearable antennas, particularly for Wireless Body Area Networks (WBANs) used in sports, military activities, healthcare, and identification systems. Unlike traditional antennas, wearable antennas operate very close to the curved human body. …”
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THE FORMATION AND DEVELOPMENT OF CORPORATE CULTURE OF THE MEDICAL ORGANIZATIONS by O. L. Zadvornaya, V. Alekseev, K. Borisov

“…The results of the study indicate the need for concept development, tools implementation and development of corporate culture in the practice of the medical organizations.Conclusions/Significance: Corporate culture – the system of collectively shared values, symbols, beliefs, standards of behaviour employees of the organization that contributes to the originality and uniqueness of the activities of medical organizations that promote the identification of employees with the organization; Corporate culture is formed with the influence of factors external and internal environment of the organization, solving problems, external adaptation  and internal integration in the environment; Generated and promoted by the corporate culture is an important management tool, creates strong competitive advantage, increases the social responsibility of medical institutions to the society and patients, improves the quality of medical activities; The presence of the corporate culture of the organization, a coherent system of values and behavior models allows us to improve policy development processes, internal communication, unity and team cohesion, to create a single vector of development of human resources to reduce employee turnover in your organization; Medical organizations need the formation of the concept, mechanisms of implementation and development of corporate culture in practice activities; The system of continuous professional education of managerial staff of health must ensure the implementation of educational programs in the field of formation and development of the corporate culture of healthcare organizations.…”
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Surface adsorption of malachite green dye from aqueous solution using novel synthesized adsorbent ZnO, Zn1-xFexO and Zn1-xCuxO nanoparticles by Masome Naseri Tekyeh, Dariush Mehrparvar, Rostam Moradian, Shahriar Mahdavi

“…This suggests that the adsorption process may involve not only surface adsorption but also structural transformations in the nanoparticles. The identification of key parameters influencing the adsorption process (adsorbent dosage, dye concentration, temperature, time, and pH) provides a basis for optimizing the adsorption conditions and enhancing the removal efficiency. …”
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The risks of telehealth in radiation oncology: challenges and mitigation strategies by Sotiri Stathakis, Niko Papanikolaou, Jessica Ashford, Jason Stephens, Aaron LaRose

“…However, the successful adoption of telehealth is predicated upon the effective identification and management of substantial challenges. …”
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Hybrid fuzzy logic–PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems by Mohamed Ahmed Ebrahim Mohamed, Sayed A. Ward, Mohamed F. El-Gohary, M. A. Mohamed

“…A user-friendly MATLAB/SIMULINK environment is developed, incorporating eleven distinct blocks along with a modelled national utility grid, utilizing actual operational data from the PVPP. …”
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VR & AR TECHNOLOGIES: OPPORTUNITIES AND APPLICATION OBSTACLES by A. V. Ivanova

“…The results of the survey show the key obstacles for the mass distribution of AR and VR technologies: high implementation and operational costs of AR/VR solutions; lack of high-quality content and imperfect devices, implicit effectiveness of their use.Based on the empirical study, a rather extensive list of benefits from using virtual and augmented reality technologies has been drawn up: faster and cheaper learning, training and guiding processes, increase in their efficiency, the reduction of the costs of elements and supplies needed, training support personnel; reducing potential risks to life and health of employees and other people while special training (medical operations and invasive procedures, evacuation, security, rescue in various emergencies) and the related optimization of the compensations; reducing the number of errors and accelerating the processes of assembling, repairing and operating special equipment, searching for information, necessary details, product location in the warehouse; significant reduction of accidents rate, as well as the exploration costs, due to the early identification of malfunctions; accelerating the pace of the designing and prototyping objects, significantly reducing the cost and duration of physical modeling process; improving customer experience, product and trading platforms design, that leads to corresponding increase in volume of sales; improving (simplifying) of communication and increasing its effectiveness.…”
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The Application of Vibroacoustic Mean and Peak-to-Peak Estimates to Assess the Rapidly Changing Thermodynamic Process of Converting Energy Obtained from Various Fuel Compositions U... by Marek Waligórski, Maciej Bajerlein, Wojciech Karpiuk, Rafał Smolec, Jakub Pełczyński

“…The proposed method can predict combustion irregularities and detect their sources in engine designs with high kinetic energy, hybrid combustion modeling, and fuel composition identification. Dimethyl ether reduced hydrocarbons by 96–99%, particulate matter by 37–60%, and carbon monoxide by 2.5–19.5%, whereas nitrogen oxides increased by 1–8% (relative to diesel fuel). …”
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Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review by Sergio Agudelo-Pérez, Daniel Botero-Rosas, Laura Rodríguez-Alvarado, Julián Espitia-Angel, Lina Raigoso-Díaz

“…Identification of environmental contaminants in milk: AI models predict exposure to contaminants, such as polychlorinated biphenyls, based on maternal and environmental factors, aiding in risk assessment. …”
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Disease management teams in oncology: State of the art and the experience of a scientific institute of hospitalization and treatment (IRCCS) in Rome, Italy by Marialuisa Appetecchia, Carlotta Amantea, Marco Canfora, Fabrizio Petrone, Gennaro Ciliberto, Ermete Gallo, Laura Figorilli

“…Conclusion: The results of this study have highlighted that, despite the diversity of the different DMTs created for different oncological pathologies, DMTs guarantee a patient-centered approach and the creation of shared databases, which facilitates the evaluation of progress and the identification of areas for improvement. This analysis has allowed us to obtain a useful map of the models used by the different DMTs, also laying the foundations for more precise evaluations of their effectiveness. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…Following methodological refinement, it becomes apparent that ensemble learning approaches, exemplified by XGB and LGBM, exhibit markedly superior predictive performance, surpassing conventional models with an accuracy rate exceeding 85%. Salient predictors include interest rates, credit ratings, and loan amounts. …”
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