Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia by Elsabet Ferede Agajie, Takele Ferede Agajie, Isaac Amoussou, Armand Fopah-Lele, Wirnkar Basil Nsanyuy, Baseem Khan, Mohit Bajaj, Ievgen Zaitsev, Emmanuel Tanyi

“…To achieve the results, meta-heuristics such as the Multiobjective Gray wolf optimization algorithm (MOGWO) and Multiobjective Grasshopper optimization algorithm (MOGOA) were applied using MATLAB software. …”
Get full text

Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

“…Therefore, in this study, we propose a deep learning Crater Detection Algorithms (CDA), called Lunar Topographic Knowledge Attention U-Net (LTKAU-Net) that integrates a Digital Elevation Model (DEM) and topographic knowledge. …”
Get full text

Reconceptualizing Gatekeeping in the Age of Artificial Intelligence: A Theoretical Exploration of Artificial Intelligence-Driven News Curation and Automated Journalism by Dan Valeriu Voinea

“…We develop a robust theoretical framework to reconceptualize gatekeeping in the AI era. We integrate classic media theories—gatekeeping, agenda-setting, and framing—with contemporary insights from algorithmic news recommender systems, large language model (LLM)–based news writing, and platform studies. …”
Get full text

Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…The methodology consists of three key phases: (1) Data preprocessing, where missing values are handled using the multiple imputations by chain equation (MICE) technique and feature scaling is applied using standard and min-max scalers; (2) Feature selection, where the FFXO algorithm reduces feature dimensionality to enhance classification efficiency; and (3) Lung tumor classification, utilizing Bi-GAN to improve predictive accuracy. …”
Get full text

Simulation of electromagnetic wave scattering on hollow structures with elliptical cross section by V. V. Garbuzov, A. P. Preobrazhensky

“…Parseval's equality is used for the integral transformation.Result. A mathematical model and an algorithm for numerical analysis of the scattering features of plane radio waves on hollow structures that are components of complex-shaped objects, antenna-feeder lines, and antenna devices have been created. …”
Get full text

Respiratory muscle strength and oxygenation as predictors of length of hospital stay in patients with COVID-19 by E. S. Pan’ko, S. V. Zhavoronok, A. M. Solovchuk, S. V. Pan’ko

“…A complex model based on a combination of the two integral hypoxia indices, as well as a diaphragm strength marker (SpO2/FiO2+MIP*ROX+MIP) had the best sensitivity (67%) and specificity (84%), and the area under ROC reached 0.8.Conclusion: Indicators of respiratory muscle strength and oxygenation are suitable markers for combined models and algorithms for predicting hospital length of stay in COVID-19 patients.…”
Get full text

A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

“…To overcome these issues, we propose integrating the novel orchard algorithm (OA) with LSTM to optimize air pollution forecasting. …”
Get full text

Hybrid machine learning techniques for knowledge extraction in communication networks and advanced decision based complex q-Rung orthopair fuzzy frameworks by Hushuang Zeng, Yonghua Zhang

Get full text

Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

“…The HC-SR04 demonstrated relatively low measurement error, with Root Mean Square Error (RMSE) values ranging from 0.64 cm to 0.89 cm but required a 5V power supply and additional voltage conversion components, complicating integration to single board computers (SBC). …”
Get full text

A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…Finally, we enhance the individual sparrow position update process by integrating a cosine strategy with an inertia weight adjustment, which improves the algorithm’s global search ability, effectively balancing global search and local exploitation, and reducing the risk of local optima and insufficient convergence precision. …”
Get full text

Encryption of sensor data using the Lorentz attractor in embedded systems by Akbota Kulzhanova, Sholpan Jomartova, Talgat Mazakov

“…The key entropy value was 7.95 bits per byte, indicating high encryption reliability. …”
Get full text

University proceedings. Volga region. Technical sciences by V.N. Ashanin, A.A. Korotkov

“…Conclusions. The obtained RMS values indicate the ability of the proposed structural and algorithmic solution to completely eliminate the influence of the instrumental component of the error caused by dielectric absorption phenomena in the integrating capacitor. …”

METHODOLOGY OF STUDYING THE STRATEGY OF INSTRUMENTALIZATION AND TECHNOLOGICAL IMPLEMENTATION OF THE YOUTH POLICY OF THE RUSSIAN FEDERATION by O. N. Blinnikova, N. N. Pachina, A. R. Pachin

“…The article discusses the implementation algorithms of value technology, technology for the formation of a young family, health-saving technology, technology for the development of socio-economic potential, information technology in the youth policy system of the Russian Federation.…”
Get full text

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

“…We can also employ the semantic segmentation algorithms of the U-Net architecture to accurately identify and segment cancerous colorectal regions. …”
Get full text

Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

“…It also emphasizes the pedagogical value of integrating educational data science into Information Technology Education (ITE) curricula to foster real-world AI application. …”
Get full text

Investigation of the physically unclonable function of a configurable ring oscillator by A. A. Ivaniuk

“…This serves as a foundation for exploring new methods and algorithms for calculating unique PUF responses.…”
Get full text

ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…This method utilizes the Secure Hash Algorithm (SHA-256) to first segment the brain's Region of Interest (RoI). …”
Get full text

Data-Driven Optimization of Aspect Ratio in Permanent Magnet Machines Using Deep Learning and SHAP Analysis by Kyeong Jin Kim, Ji Hoon Park, Dong Hoo Min, Seun Guy Min

Get full text

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

“…To optimize the FLC-PI control scheme, several artificial intelligence (AI)-based metaheuristic optimization techniques (MOTs) are employed to simultaneously tune all control parameters—namely Grey Wolf Optimization (GWO), Harris Hawks Optimization (HHO), and the Arithmetic Optimization Algorithm (AOA)—are employed. These techniques are used to simultaneously fine-tune all the gain parameters of FLC-PI control, based on four standard error-based objective functions: Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Absolute Error (ITAE), and Integral Time Square Error (ITSE). …”
Get full text

Solving a two-point second-order LODE problem by constructing a complete system of solutions using a modified Chebyshev collocation method by Konstantin P. Lovetskiy, Mikhail D. Malykh, Leonid A. Sevastianov, Stepan V. Sergeev

“…The algorithm for solving the boundary value problem practically implements a single-pass analogue of the shooting method traditionally used in such cases. …”
Get full text