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248 indexed article(s)
Object detection is a crucial component of autonomous driving technology. Accurate and real-time detection of every object on the road is required to ensure the safe operation of vehicles at high speeds. In recent years, there has been a lo...
Skin disorders are thought to be common in humans and carry several invisible risks, including the potential to cause psychological sadness, lower self-esteem, and, in more serious cases, skin cancer. Medical professionals must diagnose the...
The creation of intelligent transportation systems, such as autonomous driving and traffic monitoring, is dependent on precise vehicle recognition. Autonomous vehicles detect and recognize objects in real-time, such as pedestrians, other ve...
Facial recognition and object detection are critical computer vision problems used in security, surveillance, autonomous systems, and human-computer interaction. This study investigates the of machine learning techniques. Use of facial reco...
This paper investigates the use of Variational Autoencoders (VAEs) as a deep learning-based generative framework for AI-assisted image processing in game design, focusing on the procedural generation of stylized visual assets. Its applicati...
Artificial intelligence (AI) has significantly influenced decision-making processes across various domains, including law, healthcare, and autonomous systems. Despite its advancements, AI models face several critical challenges, including s...
Applications of machine learning are revolutionizing data processing and decision-making, which is having a significant effect on the global economy. Given the worldwide food supply crisis, agriculture is one of the industries where the eff...
This study offers a deep learning-based method for text extraction from video frames, addressing issues like motion blur, variable text orientations, and background noise. Traditional optical character recognition (OCR) methods like Tessera...
As global food demand increases amid climate change and dwindling natural resources, there is an urgent need to adopt more intelligent and sustainable farming practices. Without real-time awareness and optimization, traditional ways of farm...
In this paper, show how BI applications can lead to sales forecasting and organizational performance improvements based on the case of a retail store. To detect patterns, performance issues and actionable results, a relatively simple busine...
In many parts of the world, women’s safety in public, educational, and professional settings is still a major concern. Conventional safety measures frequently depend on wearable technology or smartphone apps, which aren’t always reliable i...
The needs of the growing information technology industry have made data centers, digital platforms and cloud computing achieve a never-before-seen growth, generating an enormous energy demand and environmental footprint. This paper follows...
Cloud gaming, as a paradigm in which games are rendered and streamed over remote servers, promises to transform the digital entertainment sector, as it eliminates the reliance on powerful local hardware. The paper discusses the trend of the...
The proliferation of an online learning environment has opened up tremendous potential in the sphere of education, but has also posed significant problems to examination integrity. Conventional services of online proctoring, i.e., manual we...
In the evolving landscape of digital communication, the need for secure, lightweight, and efficient data protection mechanisms is more critical than ever, particularly for bandwidth-constrained and privacy-sensitive applications. This paper...
This paper focuses on deep learning strategies for the assessment of satellite images for the overall assessment of disaster. The study primarily examines the ability to correctly identify those places that can be affected by various classe...
Although chest X-rays (CXRs) are still a vital diagnostic tool for detecting thoracic disease, their interpretation can be challenging because of their multilevel findings and contradictory visual patterns. As a result, we examine how well...
This paper demonstrates the practical operation of the Paillier cryptosystem in securing direct retrogression conclusion while conserving data sequestration. A customer- garçon armature is used, where sensitive input data is translated on t...
The proliferation of online services has brought even greater exposure to cyber-attacks, especially in the form of phishing and malicious URL-based threats that impersonate legitimate websites to steal user credentials and financial data. T...
The detection method described in this paper uses autoencoder-based feature learning to identify abnormal traffic patterns indicative of a Mozi infection and employs hashing techniques to track and enumerate the P2P botnet nodes. The Intern...
