A Novel Low Temperature Cofired-Cordierite Ceramic Substrate-Based Compact Ultra-Wideband Circularly Polarized Array Antenna for C-Band Remote Sensing Application by Subuh Pramono, Josaphat Tetuko Sri Sumantyo, Muhammad Hamka Ibrahim, Ayaka Takahashi, Yuki Yoshimoto, Hisato Kashihara, Cahya Edi Santosa, Steven Gao, Koichi Ito

“…The back projection algorithm is applied to convert the received data into the scattering images and samples the maximum scattering intensities from the scattering images that are presented in scattering matrices. …”
Get full text

Clinical diagnosis of partial or complete anterior cruciate ligament tears using patients' history elements and physical examination tests. by Simon Décary, Michel Fallaha, Sylvain Belzile, Johanne Martel-Pelletier, Jean-Pierre Pelletier, Debbie Feldman, Marie-Pierre Sylvestre, Pascal-André Vendittoli, François Desmeules

Get full text

Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…Finally, the model’s prediction accuracy is further enhanced by optimizing the hyperparameters of XGBoost through Bayesian optimization (BO) algorithms, resulting in the development of MM–BO–XGBoost models. …”
Get full text

Simplified Artificial Intelligence Terminology for Pathologists by Fatemeh Zabihollahy, Michael Mankaruos, Maxim Mohareb, Timothy Youssef, Yasaman Soleymani, George M. Yousef

“…The expanding shift towards digital pathology in clinical practice globally highlights its potential to enhance patient care through artificial intelligence (AI)-powered, computer-assisted diagnostics. …”
Get full text

The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network by Lei Wang, ZhouQi Liu, Jin Huang, Cong Liu, LongBo Zhang, ChunXiang Liu

“…Finally, several experiments are implemented and the results prove that the proposed method outperforms the popularly used fusion algorithms in terms of four typical objective metrics and the comparison of visual appearance.…”
Get full text

Optimization Techniques for Low-Level Control of DC–AC Converters in Renewable-Integrated Microgrids: A Brief Review by Guilherme Vieira Hollweg, Gajendra Singh Chawda, Shivam Chaturvedi, Van-Hai Bui, Wencong Su

“…With the increasing penetration of renewable energy sources and the shift toward decentralized grid architectures, advanced control strategies are needed to address challenges such as reduced system inertia and dynamic operating conditions. …”
Get full text

RISC-Based 10K+ Core Finite Difference Method Accelerator for CFD by Yanqiong Gong, Biwei Liu, Dongchang Huang, Wen Lai, Xuhui Wei

“…Consequently, exploring novel accelerator architectures tailored for large-scale CFD applications and closely integrated with CFD algorithmic characteristics holds significant value. …”
Get full text

Application Of Density-Based Clustering Approaches For Stock Market Analysis by Tanuja Das, Anindya Halder, Goutam Saha

“…It was found that in majority of the cases, Dynamic Quantum clustering outperforms the other density-based clustering approaches. The algorithms were also subjected to paired t-tests which also confirmed the statistical significance of the results obtained.…”
Get full text

South-Oriented PV Trackers: A Solution for Tree Plantations? by Jean-Baptiste Pasquier, Jules Chéron, Farida Amichi

“…We propose innovative tracking algorithms to mitigate shading effects during different seasons, preserving both electrical output and agricultural productivity. …”
Get full text

A New Experimental Method for the Nonlinear Modal Parameter Identification of a Pressurized Water Reactor Fuel Assembly by Chen Yang, Yan Guo, Xiao Hu, Yanhong Zhang

“…In this work, a novel experimental method for identifying the nonlinear modal parameters of a PWR fuel assembly is proposed. First, two algorithms are adopted to decompose the free vibration. …”
Get full text

Low-Light Image and Video Enhancement for More Robust Computer Vision Tasks: A Review by Mpilo M. Tatana, Mohohlo S. Tsoeu, Rito C. Maswanganyi

“…The review concludes by highlighting major findings such as that although supervised learners obtain the best results, due to a lack of real-world data and robustness to new data, a shift to zero-shot learners is required.…”
Get full text

Efficacy of Off-Label Use of Anticancer Drugs in Oncology by E. V. Karabina, D. D. Sakaeva, O. N. Lipatov

“…Studying the eff ectiveness of the off-label use of anticancer agents is necessary to systematize information and develop algorithms for making decisions about the prescription of these drugs in routine clinical practice.…”
Get full text

Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare by Nargish Parvin, Sang Woo Joo, Jae Hak Jung, Tapas K. Mandal

“…Multimodal artificial intelligence (AI) is driving a paradigm shift in modern biomedicine by seamlessly integrating heterogeneous data sources such as medical imaging, genomic information, and electronic health records. …”
Get full text

Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

“…The importance of this work is in the opportunity to shift diagnostic paradigms by employing deep learning algorithms, including CNNs, LSTM networks, and GNNs to analyze spatial, temporal, and relational patterns across multi-modal data. …”
Get full text

Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure by Ankita Sharma, Shalli Rani, Mohammad Shabaz

“…Abstract The role of electric vehicles (EV) is crucial in the shift toward sustainable transportation while reducing greenhouse gas emissions. …”
Get full text

Generative AI for drug discovery and protein design: the next frontier in AI-driven molecular science by Uddalak Das

“…Generative artificial intelligence (AI) has emerged as a disruptive paradigm in molecular science, enabling algorithmic navigation and construction of chemical and proteomic spaces through data-driven modeling. …”
Get full text

Sentiment Analysis on the Relocation of the National Capital (IKN) on Social Media X Using Naive Bayes and K-Nearest Neighbor (KNN) Methods by Nova Wulandari, Yana Cahyana, Rahmat Rahmat, Hanny Hikmayanti

“…Understanding these sentiments is crucial for the government to gauge support for this significant policy shift. The study compares the performance of two classification algorithms, Naïve Bayes and K-Nearest Neighbor (K-NN), in sentiment analysis. …”
Get full text

Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

“…Wildfires are an integral part of Alaska’s ecological landscape, shaping its boreal forests and tundra. However, recent shifts in wildfire frequency, intensity, and seasonality pose unprecedented challenges for fire management in Alaska’s remote and ecologically vulnerable regions. …”
Get full text

Research on Side Lobe Suppression of Time-Modulated Sparse Linear Array Based on Particle Swarm Optimization by Lei Liang, Jie Sun, Hailin Li, Jialing Liu, Yachao Jiang, Jianjiang Zhou

“…Firstly, the paper utilizes the CVX optimization as a local optimization algorithm to optimize the elements’ switch-on duration time, which reduces the side lobe of the array. …”
Get full text

Solving change of basis from Bernstein to Chebyshev polynomials by D.A. Wolfram

“…We provide two closed-form solutions to the change of basis from Bernstein polynomials to shifted Chebyshev polynomials of the fourth kind and show them to be equivalent by applying Zeilberger’s algorithm. …”
Get full text