Academic Articles & Research Papers

IWORMLF: Improved Invasive Weed Optimization With Random Mutation and Lévy Flight for Beam Pattern Optimizations of Linear and Circular Antenna Arrays

The beam pattern synthesis of antenna arrays is one of the most significant optimization problems in the electromagnetics community, and it affects the performance of wireless communication systems. In this article, we formulate the beam pa...

Optimal Trend Labeling in Financial Time Series

Predicting asset price trends is often posed as a classification problem, where trends are classified as positive or negative. Since asset price series are noisy and volatile, it is difficult to distinguish true trends from short-term fluct...

Engineering of logistics flows

The article is devoted to the engineering of logistics flows. Logistics flow engineering aims to apply methods of fuzzy modeling of logistics processes according to indicators-criteria of fuzzy relationships, search for the most optimal cou...

Evaluating the Suitability of the Simplified Pairs Trading Strategy for Short-term Equity Market Trading

Pairs trading has been a successful tool for traders since its inception in the 1980s and has evolved significantly with the introduction of algorithmic, machine, and AI trading. This evolution has compli­cated the implementation of this st...

BFLP: blockchain-based federated learning protocol with verifiable contribution proof

Abstract Cross-institutional federated learning suffers from centralized trust fragility, poisoning attacks, and the lack of verifiable contribution-based incentives. This paper proposes BFLP, a blockchain-based federated learning protocol ...

Elevated human epididymis protein 4 levels in chronic kidney disease compromise the accuracy of the risk of ovarian malignancy algorithm.

Algorithmic management and employees' work withdrawal behavior: the roles of AI anxiety and perceived algorithmic transparency.

How AI disclosure influences consumers' purchase intention toward AI-generated Chinese ethnic-minority fashion: the roles of perceived usefulness, perceived authenticity, and algorithm aversion.

Artificial Intelligence and Algorithmic Bias in Burn Care: A Literature Review of Ethical Challenges.

Research on multimodal dense small object detection algorithms guided by cross-modal information.

Explainable machine learning for breast cancer prediction in resource-constrained settings: A multi-algorithmic framework integrating shap-based transparency with clinical decision support.

A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm.

Chronic Pain Identification Through Electronic Records (C-PICTURE): development and validation of an algorithm to identify people with chronic pain using primary care records: study protocol.

Algorithmic Targeting in the Iranian-Israeli Confrontation: Technical Realities, Legal thresholds, and the Boundaries of Human Control.

Digital and algorithmic strategies for guideline-directed medical therapy initiation and up-titration in adults with heart failure with reduced ejection fraction: a systematic review.

When the Algorithm Becomes the Dietitian: Large Language Model Hallucinations, Algorithmic Food Environments, and the Erosion of Nutritional Autonomy.

HeatRisk and air quality risk recommendations: A narrative review and action algorithm for the care of people at risk for and living with cardiovascular disease.

A single-center before-and-after study of physiology-first algorithmic surveillance versus standard observation for arteriovenous fistula maturation.

Data heterogeneity and algorithmic bias in AI-based antimicrobial resistance prediction: a systematic review and mitigation framework.

Beyond Algorithmic Accuracy: Field Readiness, Ecological Intelligence and Real-World Validation of Artificial Intelligence for Insect Pest Management.