All articles in this proceedings volume have been presented at the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025) on 21st and 22nd February 2025 at Vivekananda Global University, Jaipur, India. These articles have been peer-reviewed by...

Alzheimer’s disease (AD) is a commonly spread brain illness. A computer-assisted method becomes vital for accurate and timely AD categorization. Deep learning algorithms offer substantial advantages over machine learning techniques. The execution of deep learning is extremely efficient in the area of...

NeuroVidX, a large-scale text-to-video generation model based on a diffusion transformer, which can generate 10-s continuous videos aligned with text prompt, with a frame rate of 16 fps and resolution of 768 1360 pixels, is proposed in this research. Previous video generation models often had limited...

Satellite imagery has proven its skills in the field of evaluating and supervising land use and land cover (LULC) for better eco-friendly management. High-resolution and high-quality datasets can improve LULC classification when implemented with various Machine Learning (ML) and Deep Learning (DL) models....

The system learns to object similarities by contrasting loss based on multimodalities with data of similar and dissimilar objects under consideration for a recommendation. This research provides a multimodal recommendation with an advanced framework for personalized lifestyle recommendations that fabricates...

The population growth rate all over the world, especially in countries like India, has increased the pressure on food production. Hence, there has been an increasing need for advancements in agriculture. Current technologies like data mining, machine learning (ML), remote sensing, and image analysis...

In the age of digital transformation, vast amounts of textual data are generated every second across social media, e-commerce platforms, and other online forums, making the recognition and interpretation of sentiments within this data increasingly critical. The goal of SA (Sentiment Analysis), a subfield...

In the early phases of the system development life cycle, cyber threat modelling is an analytical technique that helps select security needs and detect possible risks to a system. Therefore, one of the most important tools for implementing the secure-by-design approach is threat modelling. Though widely...

- Natural disasters are on the rise and threaten agricultural production, leading to food security issues and poor harvests. Yield loss is difficult to define and quantify because many variables affect plant health precisely. The unreliability of databases makes it difficult to assess losses and implement...

Chaotic maps have gained popularity in image encryption models due to their ability to secure images with a random key. Further, the randomness of the key is highly dependent on the initial parameter values of the chaotic map. Therefore, the literature employs metaheuristic algorithms to find the optimal...

The focus of this research paper is on the review of the existing IoT and ML tools and techniques for the detection of diseases in cattle. The dairy and beef industries are largely affected by countless diseases that compromise the health, productivity, and peace of mind for all rearing cows. However,...

Artificial intelligence and machine learning have become popular tools for smart development in society. AI and ML are not only helping to solve the problem but also predicting and analyzing futuristic aspects. This study provides how machine learning is important for smart city development and it futuristic...

Technology is witness to the achievement of new heights in society. Big data services play an important role in the business intelligence process. The data analytics and innovation performance increase the branding of the product. Consumers’ purchase intention increases when they know real-time information...

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that disturbs millions worldwide and is characterized by symptoms such as tremors, rigidity, and impaired motor function. Early detection is crucial for timely intervention, yet conventional investigative approaches often lack the sensitivity...

Sign language is a natural language that emerged to fulfill the communication requirements of the Deaf community. It uses the visual-gestural modality, meaning that meaning is mostly communicated through the use of hands, facial expressions, and upper body motions. Sign language has changed and grown...

Sepsis continues to be a global threat affecting mainly neonate and immunocompromised with high complications and mortality rates. Even with the availability of increasingly sophisticated diagnostic tests and therapeutic approaches, the current ability to identify patients in whom sepsis will develop...

Unmanned aerial vehicles (UAVs), also known as flying robots or drones, were used exclusively for military purposes only in the early 1990s. Now drones are easy to use and inexpensive; therefore, they are easily accessible by individuals as well as organizations. The rapid development of UAVs provides...

General national suicide is one of the major cover health issues which are influenced by various sociological and economic factors at large. Building on the ML approach, this work aims at analysing the key sociodemographic and socio-economic factors affecting the rates of suicide and the fundamental...

Brain tumors are a severe medical problem due to their high mortality rate, necessitating improved diagnostic and therapeutic procedures. Radiologists must manually segment patients, which is expensive, time-consuming, and prone to error. Deep learning-based automated segmentation has recently demonstrated...

This paper assesses and compares the European Union’s ‘Artificial Intelligence Act, 2024’ with Canada’s ‘Artificial Intelligence and Data Act, 2022.’ It investigates imperative components of both the AI Acts, like risk-oriented frameworks, ethical standards, innovation incentives, and compliance systems....

This research presents a strong framework for automated fruit and vegetable quality inspection through advanced image processing techniques. Such applications range from defect detection to freshness assessment, enabling agriculture supply chains and retailers to classify produce into good and infected...

The “Empowering Women’s Safety” project helps in growing the safety concerns for women by sensing real-time threats and their prevention. The system recognizes dangerous situations, such as a lone woman at night or a woman surrounded by men, by continuously monitoring public places through person detection,...

An advanced system named a ‘Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes’ has been made to change the face of note-taking by soft connecting computer vision and natural language processing technologies. This application processes handwritten notes using Convolutional...

The importance of optimizing image processing pipelines for precise diagnosis and therapy progress has been brought to the forefront by the explosive growth of medical imaging technology. This research shows how current methods fall short, particularly due to a lack of meta-learning strategies specifically...

With the aid of Artificial Intelligence (AI), information technology has enhanced the illness diagnosis and prognosis in the overall healthcare processes by accelerating clinical decision-making. This research work presents a new concept, a multi-modal learning approach, for the diagnosis of important...

Presently, the pitiful part of this sphere is that the greatest of them, i.e. comprising a few children, youths on top of the ladies, are habituated to smoking. These vigorous smokers instigate nicotine pollution, thereby escalating the percentage of causing cancer to smokers and non-smokers in society....

The automatic recognition of motorcycle helmets and detection of triple-riding violations in real-time surveillance videos is a growing application in computer science. Deep learning techniques for object detection and classification have gained popularity due to their potential to address surveillance-related...

The problem of safety in the system is a vital as well as sensitive issue. The situation arises for the confidentiality in any institution in addition with that of the personalities too, exclusively it is significant complex data, which is conveyed diagonally to the links. In the outcome, different intrusion...

Diabetes is one of the diseases that are engraved with immense challenges to the population and the global health systems. Such factors are essential for enhancing the probability of a better prognosis to work for the advantage of the patient. This paper applies an enhancement of the machine learning...

The internet of things(IoT) is one of the fastest-growing technologies that has disrupted industries by allowing devices to connect without disruption. Nevertheless, the adoption of IoT devices has posed new security risks as it is hard to distinguish between normal and anomalous behaviors indicative...

The Internet of Things (IoT) has changed several industries by its rapid spread. It has made automation and seamless communication possible. IoT networks now have serious vulnerabilities as a result of their exponential growth, which makes them easy targets for cyberattacks. The specific issues presented...

The enhancement of advanced web-based technologies in the real world has positively flexible and efficiently used e-learning systems. These technologies reduce time and space limitations and provide a convenient learning system for learners/students with different backgrounds, knowledge levels, and goals....

Heart disease remains a leading cause of mortality globally, early detection and preventive measures. Recent studies suggest a correlation between retinopathy and cardiovascular diseases, highlighting the potential for using retinal images as a diagnostic tool for heart disease predictions paper presents...

This work is a first-of-its-kind study in its subject. It undertakes a comparative investigation into Named Entity Recognition (NER) across two common linguistical low-resource languages, Hindi and Arabic, to elucidate language-specific challenges and efficacious methodological innovations within the...

Social media platforms like Facebook, WhatsApp, Twitter, Instagram, and Telegram contain a lot of unstructured data, which include posts, comments, images, videos, text, likes, dislikes, Friend Lists, and so on. Parsing this data is crucial for understanding user behavior, sentiment analysis, and information...

Software-Defined Networking (SDN) is a revolutionary network paradigm that enhances the flexibility, scalability, and management of networks. However, this centralized approach to network control also creates potential vulnerabilities that attackers can exploit. Traditional security measures are often...

Data mining has a significant function since it makes finding important information hidden in large data sets easy. However, the differences in problem sizes, data richness, heterogeneity, algorithmic bottlenecks, and constraints require new solutions for the highest efficiency. The present study aims...

This research aims at understanding the application of cryptography in the protection of communication, evaluating apps such as WhatsApp, Telegram, and OpenSSL. Despite using encryption methods including RSA, AES, ECC, such platforms possess risks including, metadata leaks, cryptographic deficiencies...

This research paper presents a complete assessment of current improvements in using machine learning techniques to assess and improve scholar revision in post-pandemic online learning environments. Nowadays, digital education continues to develop, and educators and representatives must escalate how scholars...

The combination of biotechnology and computer science gives a unique chance to develop the concept of intelligence and improve algorithms. This review aims to present the attempts made in this objective in an interdisciplinary manner, based on assembling concepts from these domains, including neural...