Enhancing stochastic optimal power flow with modified cheetah optimizer for integrating renewable energy sources by Majid Saeidi, Taher Niknam, Mohsen Zare, Zulfiqar Ali Memon

“…The MCO methodology was applied to various objective functions such as overall operating cost, voltage deviation, pollutant emissions, and power loss, which were evaluated under different cases. Regarding the valve point effect observed in case 1, the optimal response provided by MCO amounts to $781.9862. …”
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Digital Low-Altitude Airspace Unmanned Aerial Vehicle Path Planning and Operational Capacity Assessment in Urban Risk Environments by Ouge Feng, Honghai Zhang, Weibin Tang, Fei Wang, Dikun Feng, Gang Zhong

“…In the implementation of path planning, compared with the A* and Weight-A* algorithms, the Parallel-A* algorithm demonstrates clear advantages in terms of lower average comprehensive risk and fewer turning points. …”
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Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network by Abdulbaset Abdulhamed Mohamed Nureddin, Javad Rahebi, Adel Ab-BelKhair

“…After developing and simulating the proposed system, we performed the analysis in different possible operating conditions. Finally, we evaluated the simulation outcomes based on IEEE 1547 and 519 standards to prove the system’s effectiveness.…”
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Effects of PET image reconstruction parameters and tumor-to-background uptake ratio on quantification of PET images from PET/MRI and PET/CT systems by Amena Ali Hussain, Eva Forssell-Aronsson, Tobias Rosholm, Esmaeil Mehrara

“…This study aims to evaluate how reconstruction algorithms and lesion radioactivity levels affect PET image quality and quantitative accuracy across three different PET systems. …”
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Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging by Shivam Gangwar, Reeta Devi, Nor Ashidi Mat Isa

“…Each region undergoes adaptive contrast enhancement via a novel weighted probability density function (PDF) and power-law transformation to ensure balanced enhancement across different exposure levels. The PSO algorithm is then employed to optimize power-law parameters, further refining contrast enhancement and illumination uniformity while maintaining the natural appearance of medical images. …”
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Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

“…SL-GWO is tested and validated through a series of benchmarking, engineering and real-world optimization problems and compared against the standard version of GWO, eight of its latest and state-of-the-art variants and five modern meta-heuristics. Different testing scenarios are considered to analyze and evaluate the performance of the proposed method such as the effect of dimensionality (CEC2018 benchmarking suite), convergence speeds, avoidance of local entrapment (CEC2019 benchmarking suite) and constrained optimization problems (four standard engineering problems). …”
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A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

“…To evaluate the proposed method, eight DL models — Feedforward Neural Network, Recurrent Neural Network, Deep Neural Network, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Bidirectional LSTM, Gated Recurrent Unit (GRU) and Bidirectional GRU were trained on selected features using different FS methods, as well as complete dataset. …”
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Time trends incidence of celiac disease in a Spanish population. by Julia María Cabo Del Riego, María Jesús Núñez-Iglesias, Andrés Blanco Hortas, Tamara Álvarez Fernández, Ignacio Corchero, Silvia Novío, José Paz Carreira, Carmen García-Plata González, José Abel González-Ramirez, Sofia Zaera, Manuel Freire-Garabal Núñez

“…<h4>Background/objective</h4>Very few studies on celiac disease (CD) incidence across all age groups have been carried out so far, particularly in Spain. We evaluate the time trend incidence of CD of children, adults and elderly.…”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…Then, we deploy GPT to learn the distribution of the initial human gaze fixation toward different sceneries. Afterward, these GSPs are refined via a multi-layer aggregation algorithm that encodes deep feature representations into a Gaussian Mixture Model (GMM) to model the distribution of human gaze patterns. …”
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Adaptive Transmission Rate Control for Decentralized Sensing Applications by Stefan Schuhback, Lars Wischhof, Jorg Ott

“…Our algorithm leverages device density information that is locally collected, aggregated, and shared. …”
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies by Adham Kahlawi, Firas Masri, Wasim Ahmed, Josep Vidal-Alaball

“…ResultsThe analysis revealed significant regional and temporal differences in collective sense-making during the pandemic. …”
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Effect of Slab Curling on Backcalculated Material Properties of Jointed Concrete Pavements by Tae-Seok Yoo, Jin-Sun Lim, Jin-Hoon Jeong

“…Different backcalculation algorithms produce different elastic moduli which are used as a key indicator of structural capacity of concrete pavements. …”
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Expected Length of the Shortest Path of the Traveling Salesman Problem in 3D Space by Hongtai Yang, Xiaoqian Lu, Xinan Zhou, Rong Zheng, Yugang Liu, Siyu Tao

“…To fill this gap, this research focuses on developing models to estimate the expected length of the shortest path of 3D-TSP. First, different experimental scenarios are designed by combining different service areas and the number of demand points. …”
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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

“…We first convert the algorithm from continuous to binary, combine it with the K-Nearest Neighbor (KNN) algorithm for classification, and evaluate it on a dataset of brain MRI images collected from King Abdullah Hospital. …”
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Transcriptomic and proteomic analysis reveals wall-associated and glucan-degrading proteins with potential roles in Phytophthora infestans sexual spore development. by Xiaofan Niu, Audrey M V Ah-Fong, Lilianna A Lopez, Howard S Judelson

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Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner by Zhongwei Liang, Xiaochu Liu, Bangyan Ye, Richard Kars Brauwer

“…Because the application of surface fitting algorithms exerts a considerable fuzzy influence on the mathematical features of kinetic energy distribution, their relation mechanism in different external conditional parameters must be quantitatively analyzed. …”
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Diagnosis of dysphagia in the practice of a family doctor (clinical cases). by О. A. Rosytska, A. V. Chernilovski

“…The article presents diagnostic algorithms for the actions of the ge­neral practitioner-family doctor in the detection of dysphagia and clinical cases of this syndrome of different etiology.…”
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Secondary Intraocular Lens Options in Intraocular Lens Dislocation: A Review by Alexander Maloof, Ava James, Nicholas Pavic, Shane Zhang, Stephanie Wu, Christopher Go

“…A broad review of the literature was performed. We evaluated different techniques for both IOL lens rescue and secondary IOLs, with a focus on the latter. …”
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Study on Tracking Real-Time Target Human Using Deep Learning for High Accuracy by Van-Truong Nguyen, Duc-Tuan Chu

“…Subsequently, the particle filter algorithm is applied to track the target human. The proposed system is evaluated with the different color shirts and complex background conditions. …”
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PECULIARITIES OF ELABORATING AND MAKING COMPLEX MARKETING DECISIONS IN UNSTEADY MANAGEMENT SYSTEMS by S. Karpova, Y. Chupina

“…The paper describes the differences in integrated marketing solutions depending on the stage of instability in the organization. …”
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