Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach by Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Shun Zhou, Long Yu, Yuxin Zhang, Zhicheng Qiu, Zhangdui Zhong, Jianhua Fan

“…Using a convolutional network activation visualization method, the interpretability of the proposed model is improved. …”
Get full text

Recognition of the finger vascular system using multi‐wavelength imaging by Tomasz Moroń, Krzysztof Bernacki, Jerzy Fiołka, Jia Peng, Adam Popowicz

“…Analyses of data from over 100 volunteers, using five different deterministic methods for feature extraction, consistently demonstrated improved identification efficiency with the addition of data obtained from another wavelength. …”
Get full text

Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs by Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit

“…The deep deterministic policy gradient (DDPG) method was chosen to suit environments with continuous action spaces. …”
Get full text

FIST GEOINFORMATION SYSTEM MODEL USING FOG COMPUTING IN DESTABILIZATION by V. V. Gryzunov

“…The research methods are based on a deterministic or stochastic model of destabilization, but the geographic information system is characterized by a non-stochastic model. …”
Get full text

Adaptive Context-Aware Generative Adversarial Network for Low-quality Image Enhancement by Xingyu Pan, Fengling Chen

“…However, current methods still face with two issues: (1) They commonly earn a deterministic generation mapping between low-quality and normal images via relying on pixel-level reconstruction, leading to improper brightness and noise in the enhancing process. (2) They use only one type of generative model, either explicit or implicit, which limits flexibility and efficiency of models. …”
Get full text

Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

“…The primary advantage of the proposed model lies in its design optimization efficiency. While HSPICE simulations combining Monte Carlo (MC) and binary search methods require numerous iterations for single design point verification, our model significantly reduces design time by effectively narrowing the region of interest through pre-optimization using statistical characteristics. …”
Get full text

Differentiable Imaging: Progress, Challenges, and Outlook by Ni Chen, David J. Brady, Edmund Y. Lam

“…We identify emerging challenges in numerical modeling, computational efficiency, and system integration, with particular focus on how digital twin architectures may provide solutions for next-generation adaptive imaging systems. …”
Get full text

Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

“…However, conventional control methods often struggle with managing continuous action spaces and responding to dynamic environments, making them inadequate for complex multi-UAV cooperative formation control tasks. …”
Get full text

Microfluidic device for both active and passive cell separation techniques: A review by Muhammad Asraf Mansor, Muhammad Asyraf Jamrus, Chong Kar Lok, Mohd Ridzuan Ahmad, Michal Petrů, Seyed Saeid Rahimian Koloor

“…In order to limit the extent of this work, our primary emphasis is on six common methods of cell separation: acoustophoresis, dielectrophoresis, magnetophoresis, inertial, pinched flow fractionation (PFF), and deterministic lateral displacement (DLD). …”
Get full text

Presenting a Quantum Leadership Model to Establish Organizational Civilization in the Iranian Higher Education System by reza heydari, hamidreza rezaeekelidbari, musa chaman zamin

“…Abstract The aim of this study is to present a quantum leadership model to establish organizational civilization in the Iranian higher education system. The research method is fundamental in terms of its purpose, and qualitative in terms of its implementation method, with inductive-deductive logic. …”
Get full text

Research of the effectiveness of equity capital by chemical industry companies during the crisis by O. V. Berezhnaya, E. V. Berezhnaya

“…The purpose of the work is to assess the effectiveness of using their own sources of financing, typical for companies in the chemical industry, during the period of crisis and sanctions restrictions from 2019 to 2022.Materials and methods. Based on traditional methods of statistical analysis, financial analysis and classical deterministic models (in particular, return on equity capital), on the basis of information on the financial results and capital structure of organizations in the SPARK-Interfax system, the authors analyzed the dynamics of equity capital, its components in the chemical industry and its sub-sectors. …”
Get full text

Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers by Daniel Marti-Dafcik, Hugh G. A. Burton, David P. Tew

“…We provide quantum circuits for deterministic preparation of a family of spin eigenfunctions with (N/N/2) Slater determinants with depth O(N) and O(N^{2}) local gates. …”
Get full text

A Comprehensive Approach for Performance Evaluation in Petrochemical Industry: Integrating Sustainable Balanced Scorecard, Dynamic Network DEA, and DEMATEL in a Neutrosophic Enviro... by Hasan Abedifar, Bijan Rahmani Parchikolaei, Seyyed Mohammad Hadji Molana, Mahnaz Ahadzadeh Namin

“…To manage uncertainty within the model, we transformed the proposed model into deterministic forms. This enabled computation of efficiency boundaries at varying degrees of variation, providing robust performance analysis. …”
Get full text

Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Monte Carlo methods, which are based on statistical sampling, exhibit many attractive properties in dealing with large volumes of datasets, including fast approximated results, memory efficiency, reduced data accesses, natural parallelism, and inherent fault tolerance. …”
Get full text

Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…Advanced forecasting models must be combined with robust optimization methods to address these challenges effectively. Conventional methods, such as logistic regression, decision trees, and linear discriminant analysis, often struggle to accurately detect early financial risks because they are deterministic and unsuited for exploring global optimal solutions. …”
Get full text

Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review by Umile Giuseppe Longo, Alberto Lalli, Guido Nicodemi, Matteo Giuseppe Pisani, Alessandro De Sire, Pieter D'Hooghe, Ara Nazarian, Jacob F. Oeding, Balint Zsidai, Kristian Samuelsson

“…The aim of this systematic review is to evaluate the effectiveness and reliability of AI applications in orthopaedic imaging, focusing on their impact on diagnostic accuracy, image segmentation and operational efficiency across various imaging modalities. Methods Based on the PRISMA guidelines, a comprehensive literature search of PubMed, Cochrane and Scopus databases was performed, using combinations of keywords and MeSH descriptors ('AI', 'ML', 'deep learning', 'orthopaedic surgery' and 'imaging') from inception to March 2024. …”
Get full text

Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Furthermore, these constraints are transformed into their deterministic equivalents using quantile-based methods. …”
Get full text

Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

“…Additionally, GSM’s efficiency in image thresholding segmentation is highlighted, as it achieves high-quality results with fewer iterations and particles compared to other methods.…”
Get full text

Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…Future research will extend this framework to ascent/dive phases and optimize its computational efficiency for onboard deployment.…”
Get full text

Pharmacoeconomic study of various treatment options for superficial vein thrombophlebitis of lower extremities by R. E. Kalinin, I. A. Suchkov, M. M. Uporov, D. S. Titov, M. Yu. Klishchenko

“…The pharmacoeconomic efficiency of crossectomy and phlebectomy are comparable.…”
Get full text