Advances in Computer Science Research

The security of industrial supply Chains (ISCs) has progressed with the incorporation of industrial internet of things (IIoT) and Blockchain (BC) technology, presenting sturdy defense in opposition to cyber attacks and ensuring operational resilience. This work examines lightweight machine learning algorithms...

Kidney tumor segmentation and identification. This system detects tumor in digital images of kidneys by means of analysis. Precision tumorlocalisation is achieved using U-Net model, so improving the segmentation and detection flow. This method guarantees better performance in medical diagnostics as well...

The remote sensing imagery classification is a vital application of machine learning technology going beyond satellite-based platforms into aerial imagery. These techniques substitute for conventional manual categorization, allowing for auto- mated detection of particular land features in geospatial...

One of the biggest problems today is how fast misinformation spreads, affecting people, groups, and entire societies. With so many of all of the people relying on social media such as WhatsApp, Facebook, and blogs, it’s more important now than ever it was to check for whether the information that we...

Precise identification and quantification of necrotic lung lesions in CT scans are important for analyzing lesion traits and monitoring disease advancement; how- ever, conventional techniques frequently face challenges in extracting detailed features and depend significantly on manual input. An optimized...

This project focuses on the development of a low-cost, web-controlled surveillance robot using the ESP32microcontroller, which offers Wi-Fi capabilities for real-time remote access. The robot is equipped with a camera module that streams live video to a web interface, allowing users to monitor and control...

Driver fatigue-induced road accidents are one of the primary threats to traffic safety, and this has driven the need for real-time detection systems. A driver drowsiness detection system based on deep learning, machine learning, and computer vision is proposed in this study for improving road safety....

In Computers must be able to identify human emotions and gestures by examining a person’s behavior, body language, emotional state, and hand gestures in order to engage with them intelligently. In interpersonal interactions, facial expressions and hand gestures let computers and people respond intelligently...

In today’s ever-changing educational environment, students and teachers face many challenges related to effective communication, attendance management, and resource accessibility. Traditional solutions address these needs alone, often resulting in ineffectiveness and timelessness. This study presents...

Subscription-based services have made digital platforms more accessible; their rapid rise comes with mixed blessings for users looking for low- cost deals. In this paper, we introduce Sab-Share, a web-based application that enables users to share subscriptions across different services, including OTT...

Monitoring the health of plants and diagnosing diseases at early stages is an important step to boost agricultural productivity. This project proposes an IoT plant monitoring system that collects images of plants, taking into consideration secondary environmental factors such as soil moisture, temperature,...

Personalized tax optimization and fraud detection pose a challenge to financial decision-making due to the constraints of conventional methods. This research provides a composite machine learning framework combining XGBoost with SHAP for personalized tax- saving recommendations and Random Forest with...

In traffic monitoring and surveillance systems that have been improved with the empirical mode decomposition (EMD) technology, this re- search suggests an effective radar-based method for vehicle classification. A type of signal known as micro-Doppler signatures can identify minute motion patterns in...

Agriculture is one of the long-established occupations across the globe. More than half of the population predominantly rely on agriculture as the primary occupation for their livelihood. Despite the advancement of technology farmers still follow traditional methods to carry out the tasks. The development...

Human carelessness frequently affects traditional water management systems, leading to waste and runoff. To address this issue, we have created Internet of Things solutions. Plans presented by Rankin: An immediate solution for water monitoring and management in a variety of applications, including water...