Recent Advances in Computer Science and Communications - Online First

Privacy plays a substantial role in both public and private, databases especially in the healthcare industry and government sectors require a high-confidential data transmission process. Most often, these data contain personal information that must be concealed throughout data processing and transmission between terminal devices and cloud data centers, such as username, ID, account information, and a few more sensitiv Read More

Background Cybersecurity requirements for ensuring data security during research manuscript transit on the journal website require continuous improvement and adherence to best practices. Research data loss can have significant negative consequences across multiple dimensions including time and financial loss. The present research investigates security vulnerabilities during the real-time transit of manuscripts on Read More

Introduction Cardio Vascular Disease (CVD), a primary cause of death worldwide, includes a variety of heart-related disorders like heart failure, arrhythmias, and coronary artery disease (CAD), where plaque buildup narrows the heart muscle's blood vessels and causes angina or heart attacks. Genetics, congenital anomalies, bad diet, lack of exercise, smoking, and chronic diseases including hypertension and diabetes c Read More

Background Considering the singularity of collaborative filtering algorithms in recommending learning resources and the problem that existing knowledge graph convolutional networks cannot deeply mine the neighbourhood information of learning resource nodes in application scenarios with less neighbourhood information, a multi-domain fusion convolutional network learning resource recommendation model based on k Read More

Introduction With the rapid development of society, motor vehicles have become one of the main means of transportation. However, as the number of motor vehicles continues to increase, traffic safety accidents also continue to appear, bringing serious threats to people's lives, and property safety. Fatigue driving is one of the important causes of traffic safety accidents. Method To address this problem, a target detec Read More

Introduction ”Artificial Intelligence will revolutionize our lives” is a phrase frequently echoed. The influence of Artificial Intelligence (AI) and Machine Learning (ML) extends across various aspects of our daily lives, encompassing health, education, economics, the environment, and more. Method A particularly formidable challenge lies in decision support, especially in critical scenarios such as natural disaster management, where art Read More

Background Unbalanced datasets present a significant challenge in machine learning, often leading to biased models that favor the majority class. Recent oversampling techniques like SMOTE, Borderline SMOTE, and ADASYN attempt to mitigate these issues. This study investigates these techniques in conjunction with machine learning models like SVM, Decision Tree, and Logistic Regression. The results reveal critical chall Read More

Introduction Deformable image registration is an essential task in medical image analysis. The UNet model, or the model with the U-shaped structure, has been popularly proposed in deep learning-based registration methods. However, they easily lose the important similarity information in the up-sampling stage, and these methods usually ignore the inherent inverse consistency of the transformation between a pair of im Read More

Background Internet of Things (IoT) technology in smart urban homes has revolutionised sophisticated monitoring. This progress uses interconnected devices and systems to improve security, resource management, and resident safety. Smart cities use technology to improve efficiency, sustainability, and quality. Internet of Things-enabled intelligent monitoring technologies are key to this goal. Objectives Intelli Read More

Introduction Attention-Deficit Hyperactivity Disorder (ADHD) is a prevalent chronic mental health condition that significantly impacts the psychological and physical well-being of millions of adolescents. Early detection and accurate diagnosis are crucial for effective treatment and mitigating the disorder's adverse effects. Despite extensive research efforts, current methods often fall short in simultaneously accounti Read More

Aims & Background Due to its ferocity, enormous metastatic potential, and variability, cancer is responsible for a disproportionately high number of deaths. Cancers of the lung and colon are two of the most common forms of the disease in both sexes worldwide. The excellence of treatment and the endurance rate for cancer patients can be greatly improved with early and precise diagnosis. Objectives & Methodology We suggest Read More

Introduction The use of 20% blended biofuels to fossil fuels is one of the important targets of the Government of India to address the impacts of Climate Change, energy-related environmental pollution, and illnesses due to air pollution. Method The National Policy on Biofuels 2018 (NPB 2018) is in place to boost the emerging production of biofuels and, therefore, respond to different international agreements, including the Sust Read More

Introduction Nowadays, Artificial intelligence and machine learning have emerged as a powerful tool for the analysis of medical images such as MRI scans. This technology holds significant potential to improve diagnostic services and accelerate medical advances by facilitating clinical decision-making. Method In this work, we developed a Convolutional Neural Network (CNN) model specifically designed for the classification of m Read More

In the contemporary era, a vast array of applications employs encryption techniques to ensure the safeguarding and privacy of data. Quantum computers are expected to threaten conventional security methods and two existing approaches, namely Shor's and Grover's algorithms, are expediting the process of breaking both asymmetric and symmetric key classical algorithms. The objective of this article is to explore th Read More

Background In order to realize seamless indoor and outdoor positioning, the positioning results of multiple positioning methods are taken into consideration, and a seamless indoor and outdoor positioning method that ignores the differences in indoor and outdoor environments is required now. Objective The implementation of Pseudo satellite/GNSS combined indoor and outdoor fusion positioning for seamless indoor and ou Read More