ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…The use of deep learning approaches in finance extends beyond traditional prediction tasks, providing new insights for automated trading systems and risk assessment tools. Artificial neural networks and deep learning enhance modeling capabilities by improving accuracy and adaptability, thereby aiding decision-making within dynamic financial contexts. …”
Get full text

Forest HyperSoft Sets for Quality Measurement of Preschool Education in the New Era Utilizing MCDM Approach and Data Analytics by Yanzi Zhang, Leqiang Zou

“…By employing multi-criteria decision-making (MCDM) methodologies, we propose a MCDM methodology with the Entropy method to compute the criteria weights and the TOPSIS method to rank the alternatives. …”
Get full text

Application of MCDM for Estimating Student Performance in University English Translation Courses under IndetermSoft Set by Qin Xu

“…The application of Multi-Criteria Decision-Making (MCDM) methodologies offers a structured and systematic approach to estimating student performance based on diverse and interdependent criteria. …”
Get full text

Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

Get full text

Effectiveness of Radiomics-Based Machine Learning Models in Differentiating Pancreatitis and Pancreatic Ductal Adenocarcinoma: Systematic Review and Meta-Analysis by Lechang Zhang, Dewei Li, Tong Su, Tong Xiao, Shulei Zhao

“…ConclusionsRadiomics-based ML models demonstrate high diagnostic accuracy in differentiating PDAC from MFP, underscoring their potential as noninvasive tools for clinical decision-making. Nonetheless, the overall methodological quality was moderate due to limitations in external validation, standardized protocols, and reproducibility. …”
Get full text

Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management by Felicia Lim Xin Ying, Suliadi Firdaus Sufahani

“…The transition from manual methods to advanced computational approaches, such as metaheuristic algorithms, enhances decision-making and consolidates operations within SCM. …”
Get full text

A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems by Yuanyuan Meng, Jing Cai

“…Artificial Intelligence (AI) is transforming judicial systems by offering tools that enhance legal decision-making, yet measuring the efficiency of criminal litigation processes within these evolving digital ecosystems remains a complex task. …”
Get full text

Identifying gaps and optimising clinical practice and guideline of adrenal incidentaloma management by Chan Khin, Samriaz Nafees, Muhammad Haroon Riasat, Riya Raphael, Mojeed Adiat, Nicholas Mcwhirter, Fatima Ali

“…Data were analysed based on imaging findings (eg, Hounsfield units), biochemical assessments (eg, dexamethasone suppression tests), and clinical decision-making processes. …”
Get full text

Hedge Ratio and Hedging Effectiveness in Indian Currency Futures Markets by N. Agrawal, P. Srinivasan

“…The purpose of the study is to assess the efficacy of diverse hedge ratios computed using three econometric models: OLS, VECM, and BEKK-GARCH model. …”
Get full text

Revolutionizing Sports: The Role of Wearable Technology and AI in Training and Performance Analysis by Stanisław Dudek, Weronika Koziak, Michalina Makieła, Aleksandra Bętkowska, Agata Kornacka, Wojciech Dudek, Kamila Szostak, Rafał Tomaka, Anna Byra

“…AI-driven analytics, utilizing machine learning, deep learning, and computer vision, enhance performance assessment, injury prediction, and rehabilitation strategies by processing vast datasets to detect fatigue patterns, optimize recovery schedules, and refine tactical decision-making. …”
Get full text

Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions by Rahul Kumar, Kyle Sporn, Joshua Ong, Ethan Waisberg, Phani Paladugu, Swapna Vaja, Tamer Hage, Tejas C. Sekhar, Amar S. Vadhera, Alex Ngo, Nasif Zaman, Alireza Tavakkoli, Mouayad Masalkhi

Get full text

Health service utilisation cost associated with residential fire incidents in New South Wales, Australia by Fahmida Saadia Rahman, Wadad Kathy Tannous, Kingsley Emwinyore Agho, Gulay Avsar, Lara Ann Harvey

“…Our study will assist the government and stakeholders in making informed decisions that prioritise funding for healthcare service and improve the quality of overall fire safety and public health outcomes.…”
Get full text

Hybrid SuperHyperSoft Model for Evaluation of Comprehensive Transportation Efficiency: Analysis and Results by Zigeng Wen, Jie Liu, Jianchang Huang

“…We evaluate the transportation efficiency using the decision making model based on a set of criteria and alternatives. …”
Get full text

Single Valued Complex Neutrosophic Set for Innovative Teaching Begins with Training: Evaluating the Success of Faculty EdTech Programs by Liqing Wei

“…This study applies a Multi-Criteria Decision-Making (MCDM) approach to assess the success of faculty EdTech programs, identifying relevant criteria and evaluating a diverse range of training alternatives. …”
Get full text

Multisensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification by Sumei Ren, Bushra Ghaffar, Muhammad Mubbin, Muhammad Haseeb, Zainab Tahir, Sher Shah Hassan, Dmitry E. Kucher, Olga D. Kucher, M. Abdullah-Al-Wadud

Get full text

A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

Get full text

Rationale and design of the THIRST Alert feasibility study: a pragmatic, single-centre, parallel-group randomised controlled trial of an interruptive alert for oral fluid restricti... by Yang Chen, Anoop Shah, Folkert W Asselbergs, R Thomas Lumbers, Daniel Higgins, Yogini Jani, Nausheen Saleem, Kris Chafer, Matthew Robert Sydes

“…A restriction in oral fluid intake is commonly imposed on patients as an adjunct to pharmacological therapy with loop diuretics, but there is a lack of evidence from traditional randomised controlled trials (RCTs) to support the safety and effectiveness of this intervention in the acute setting.This study aims to explore the feasibility of using computer alerts within the electronic health record (EHR) system to invite clinical care teams to enrol patients into a pragmatic RCT at the time of clinical decision-making. …”
Get full text

Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification by P. Ankit Krishna, Neelamadhab Padhy, Archana Patnaik

Get full text

Are Women More Risk Averse? A Sequel by Christos I. Giannikos, Efstathia D. Korkou

“…This eliminates ambiguity about the actual financial decision maker in households, enabling a clearer assessment of individual gendered behavior. …”
Get full text

Stakeholder Partnerships in AI-Driven Economic Models for Sports Management by Akhmatov Makhmud, Shukurova Sayyora, Boymatov Khabib

“…Its effect is to increase the economic viability of sports enterprises operating using the AI-driven decision-making framework based on the aforementioned methodological insights.…”
Get full text