Academic Articles & Research Papers

Challenges in automotive software engineering

The amount of software in cars grows exponentially. Driving forces of this development are cheaper and more powerful hardware and the demand for innovations by new functions. The rapid increase of software and software based functionality b...

Challenges in community-based recruitment of Alzheimer's disease cases: Experience of the monitoring drug efficacy through multi-omics research initiative in Alzheimer's disease (MEMORI-AD) study

Background The Monitoring drug Efficacy through Multi-Omics Research Initiative in Alzheimer's Disease (MEMORI-AD) study aims to characterize drug response to donepezil and memantine in a Filipino cohort with late-onset Alzheimer's disease ...

Nanotechnology: A Revolution in Modern Industry

Nanotechnology, contrary to its name, has massively revolutionized industries around the world. This paper predominantly deals with data regarding the applications of nanotechnology in the modernization of several industries. A comprehensiv...

Introduction to Probability and Statistics

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and trad...

Automated monitoring innovations for efficient and safe construction practices

As construction projects increase in complexity, there are growing challenges with conventional monitoring methods in terms of efficiency, safety, and competitiveness. Traditional supervision techniques are labour-intensive, intermittent, a...

Public Health Communication

Contents: Preface. Introduction. R. Hornik, Public Health Communication: Making Sense of Contradictory Evidence. Part I: Deliberate Trials. J.K. Worden, B.S. Flynn, Using Mass Media to Prevent Cigarette Smoking. P. Palmgreen, L. Donohew, E....

Advances in CAR T cell therapy: antigen selection, modifications, and current trials for solid tumors

Chimeric antigen receptor (CAR) T cell therapy has revolutionized the treatment of hematologic malignancies, achieving remarkable clinical success with FDA-approved therapies targeting CD19 and BCMA. However, the extension of these successe...

Exploring innovation landscapes: a national cross-sectional study of Swedish primary care from the viewpoint of primary care managers

Abstract Background Innovation is increasingly necessary in primary care policy, and healthcare managers play a pivotal role in translating policy ambitions into practice and shaping organisational conditions that foster innovation. The aim...

Combined Effect of the Parameters of Vacuum Interrupter and L-C Circuit Upon Arc Re-Ignition in HVDC Circuit Breakers

The new horizons for HVDC systems and their applications has intensified the research in HVDC protection systems. The HVDC circuit breakers (CB) has been the center of the protection systems with vacuum interrupters (VIs) showcasing a great...

AMALGAMATION OF BUSINESS INT ELL IGENCE WITH ENT ERPRISE RESOURCEPLANN ING SYSTEMS FOR IND USTRY 4.0

Businesses today are incredibly data rich, and dealing with large amount of data, so making some inferences andconclusions, depending on the organisation size and complexity of its processes, it has been a challenge, especially that thenext...

Blockchain Metamorphosis: Transforming Traditional Finance through Decentralization and Transparency

This study investigates how decentralization and transparency offered by blockchain technology could revolutionize traditional finance. Even with the rise of well-known cryptocurrencies such as Bitcoin and Ethereum, a general understanding ...

Decolonizing Algorithms: AI-Driven Media and the Reclamation of African Linguistic Identities

This study examines the influence of artificial intelligence (AI)-driven media platforms on South Africa's indigenous languages—Setswana, Tshivenda, and Xitsonga—in the country's diverse linguistic environment. It examines how algorithmic b...

Artificial Intelligence in Routine IVF Practice

Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...

Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation

Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...

Real-time XR-based 6-DOF catheter tracking enhances cardiac intervention navigation efficiency and depth perception.

Emerging Topics in Computer Vision

The state-of-the art in computer vision: theory, applications, and programmingWhether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. Gerard...

YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO

This paper implements a systematic methodological approach to review the evolution of YOLO variants. Each variant is dissected by examining its internal architectural composition, providing a thorough understanding of its structural compone...

Deep learning in medical imaging and radiation therapy

The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies that researchers have taken to addr...

A Reinforcement Learning based Adaptive and Efficient RWA in All Optical Networks

【Objective】Recent research efforts on Routing and Wavelength Assignment (RWA) for all optical networks are focused on Deep Reinforcement Learning (DRL) based algorithms. The DRL based RWA algorithms are mostly rely on the K Shortest Paths (...

Distributed biconnectivity-preserving flocking with fast obstacle avoidance for UAV swarms

Abstract Obstacles in low-altitude environments force unmanned aerial vehicle (UAV) swarms to frequently alter their flight paths and communication links, which can easily cause network interruptions. It remains a significant challenge for ...