This Research Article demonstrates the antagonistic interaction between the eggs of a Striped Lynx spider Oxyopes javanus Thorell, 1887 and a Pharaoh Ant Monomorium pharaonis (Linnaeus, 1758), where the lynx spider produces many eggs to increase its survival fitness as spiderlings and protects them with its defence strategies. In this study focuses on three defence […]
Vol. 11 (10) 2025
The rapid adoption of microservices in financial systems has transformed how data is processed, transmitted, and secured. As the organizations decentralize their architectures, data transactions become more dispersed, therefore necessitating increased guarantees on confidentiality, integrity, and availability. Meanwhile, the compliance with strict regulatory frameworks in financial systems frequently sets limits on data handling, auditing, and […]
Public wireless networks (public Wi-Fi) offer convenience and digital inclusion but also expose users, providers, and third parties to a broad range of technical, privacy, legal, and social risks. This paper reviews the technical foundations of public Wi-Fi, catalogues principal attack vectors and privacy threats, summarizes relevant standards and high-profile vulnerabilities, examines user behavior and […]
This research paper presents a comprehensive analysis of four key ML algorithms—Logistic Regression, Decision Tree, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM)—and evaluates their applicability in financial risk assessment and fraud detection. The study includes detailed methodology involving dataset preparation, preprocessing, feature engineering, and algorithm implementation. In addition, complete Python code implementations are […]
This research paper presents an AI-driven adaptive learning framework designed to deliver personalized educational experiences by dynamically adjusting learning content according to individual student needs. The study examines how learner interaction data such as task performance, engagement patterns, and navigation behavior can be leveraged through machine learning techniques to construct adaptive learning pathways. The proposed […]
The Internet of Things (IoT) enables smart environments such as homes, cities, healthcare, and industrial systems to operate efficiently and intelligently. However, this connectivity introduces major cybersecurity challenges, including insecure devices, weak authentication, privacy vulnerabilities, botnets, and supply-chain attacks (Atzori, Iera, & Morabito, 2010; Weber & Studer, 2016). This paper explores the threats and vulnerabilities […]
Type 2 diabetes has become one of the fastest-growing health concerns globally, affecting more than 537 million individuals, and this number is projected to rise. As the burden of the disease increases, innovative and efficient management strategies are urgently needed. This paper discusses how the Freestyle Libre continuous glucose monitoring system—known for its real-time and […]
Crochet is a widely practiced handwork that needs proper planning in design and material selection, and cost estimation. Preparation by traditional project methods can be very time-consuming rather tedious and error-prone, especially for beginners. The present study proposes SmartCrochet- an AI-driven Mobile platform for simplifying the process of planning and executing crochet projects. The system […]
Mobile communication fraud has emerged as a critical threat in the digital age, with financial losses exceeding $12.7 billion annually in the United States alone, and global digital payment fraud involving mobile devices reaching 75% of all incidents. This paper presents a comprehensive review of artificial intelligence-driven approaches for detecting and preventing fraud across multiple […]
The era of Digital Transformation (DT) has fundamentally reshaped the global technological landscape, simultaneously expanding the attack surface and challenging traditional security paradigms.1 This systematic literature review investigates advanced defense mechanisms essential for securing the modern digital ecosystem, focusing on three foundational pillars: Blockchain-based solutions for secure data transactions, cybersecurity for IoT-enabled smart environments, and […]
The increasing reliance on digital workspaces has transformed the modern professional environment, yet it has also highlighted persistent accessibility challenges faced by people with disabilities. Assistive technologies (AT) — including screen readers, speech recognition systems, alternative input devices, and adaptive software — play a crucial role in enabling inclusivity and equitable participation in these environments. […]
Customer retention has become a critical strategic priority for e-commerce businesses operating in an increasingly competitive digital marketplace. With customer acquisition costs rising sharply, organizations are leveraging data analytics to understand customer behaviour, predict churn, and develop personalised engagement strategies. This paper examines how data analytics supports customer retention by enabling segmentation, predictive modelling, and […]
In today's fast-evolving digital landscape, technology continues to advance at an unprecedented pace. Whether one embraces or resists these changes, the influence of technology on business is undeniable. Small businesses that don't keep up with new technology risk falling behind, while those that do can reap big benefits. The good news is, you don’t need […]
The rapid integration of Artificial Intelligence (AI) into healthcare and government operations presents significant opportunities for improved efficiency, prediction accuracy, and decision-making. However, the lack of clear ethical guidelines, accountability mechanisms, and public oversight raises concerns surrounding data privacy, transparency, and fairness. This paper examines the ethical challenges associated with deploying AI in these critical […]
The rapid advancement of digital technologies has reshaped how higher education is organized, delivered, and experienced. Among the many innovations emerging from this shift is the concept of the Augmented University a model that blends traditional campus-based learning with advanced digital systems such as augmented reality (AR), artificial intelligence (AI), and smart, technology-driven learning environments. […]
Grading student examinations has long been recognized as one of the most demanding tasks in education. It requires significant time, careful attention, and consistency, yet human evaluators are often subject to fatigue and bias. This paper introduces EduCheckAI, a design framework that aims to automate paper evaluation through artificial intelligence. The system combines three essential […]
Cyber threats have become increasingly complex and unpredictable, making it challenging for traditional rule-based security systems to provide effective protection in contemporary digital environments. This research addresses an adaptive cybersecurity approach using AI and ML to enhance the detection and mitigation of emerging attacks. The study makes use of two widely referenced datasets, namely NSL-KDD […]
This paper presents a comprehensive analysis of statistical modeling in AI-enabled financial fraud detection, examining classical and modern statistical approaches such as regression, discriminant analysis, Bayesian inference, probabilistic graphical models, and time-series techniques. The integration of these models with machine learning, deep learning, and graph-based AI architectures is critically evaluated. Challenges such as imbalanced data, […]
Proposed experiment performs a comparison study of impact of structured pruning with uniform rate of 20% and structured pruning with custom pruning rate on the proposed UNet model designed and trained to detect infection regions with lung CT and corresponding infection masks, obtained from COVID-19 dataset. The model acquired very good training dice value 91% […]
Email overload has become a significant barrier to productivity, as manual categorization is slow, inconsistent, and unsuitable for large-scale communication environments. This paper presents an unsupervised learning framework for automatically grouping emails into meaningful topic clusters without relying on labeled training sets. Classical clustering methods—K-Means, Hierarchical Clustering, and DBSCAN—are compared against modern semantic vectorization techniques […]
In an increasingly interconnected and complex world, global challenges such as climate change, public health crises, and rapid technological advancements demand comprehensive and integrative solutions. The transformative potential of multidisciplinary education in tackling these global concerns is examined in this research. By blending insights and methods from diverse academic disciplines, multidisciplinary education fosters critical thinking, […]
Digital transformation (DX) has required a shift in enterprise infrastructure. It has moved most data processing and storage from on-site data centers to cloud environments. While this change offers significant scalability and flexibility, it also increases the risk of cyberattacks. This introduces complicated vulnerabilities linked to API endpoints, misconfigurations, and identity management. This paper looks […]
Global agriculture faces immense challenges due to water scarcity, erratic climatic conditions, and inefficient irrigation practices. Integrating the Internet of Things (IoT) with Machine Learning (ML) provides a transformative approach to precision irrigation, optimizing water utilization and enhancing crop productivity. This research investigates the development, implementation, and evaluation of IoT-based smart irrigation systems powered by […]
This paper reviews how artificial intelligence (AI) and machine learning (ML) are being applied to predictive healthcare and personalized medicine. We conducted a systematic literature survey of recent peer-reviewed studies (2021–2025) and identified 22 key articles. These studies employ a range of ML models – most notably ensemble methods (e.g., Random Forest, XGBoost) for structured […]
This study explores the design, implementation, and impact of an AI-driven adaptive learning system aimed at delivering personalized education. The study uses artificial intelligence to analyze student performance, learning behaviour, and progress in real time to dynamically modify content difficulty, generate personalized learning paths, and provide instant feedback. Using insights from existing adaptive learning platforms, […]
Artificial Intelligence (AI) has become deeply integrated into everyday life, powering virtual assistants, smart home technologies, transportation systems, and even modern healthcare. This survey seeks to understand how people interact with AI, their perceptions of its advantages, and the challenges associated with its growing presence. It also explores AI’s influence on jobs and industries, addressing […]
Diabetes mellitus is a rapidly growing chronic health condition that imposes significant clinical and economic burdens worldwide. Detecting individuals at risk before the onset of clinical symptoms can substantially reduce disease progression and long-term complications. Conventional screening techniques, though widely used, often depend on isolated health indicators and fail to capture the multidimensional nature of […]
Rapid advancements in emerging technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Cybersecurity, and Data Analytics have created a growing demand for a workforce with advanced technical and practical skills. However, educational institutions often struggle to keep pace with the evolving needs of the industry. This paper explores how collaboration between industry […]
The emergence of ChatGPT and similar AI-powered conversational agents have significantly influenced various aspects of society, including communication, education, business, and ethics. This study explores the multifaceted impacts of ChatGPT, highlighting its benefits and challenges. On the positive side, ChatGPT enhances productivity, facilitates access to knowledge, and improves customer service efficiency. A number of concerns […]
The study conducted an analysis of the opportunity for Artificial Intelligence (AI) or Machine Learning (ML) to improve predictive medicine and personalized health use of a structured lifestyle dataset. The lifestyle dataset collected demographic, behavioral, and family health calibration which was assessed through descriptive analyses and predictive analytics methods (models). Specifically, lifestyle trends were assessed […]
In agrochemistry, organophosphorous compounds comprising phosphates, dithiophosphates and phosphorothioates are used as pesticidal agents. The biodegradable nature of these compounds makes them preferable and safer alternative in comparison with DDT, BHC etc. Phosphorothioates have a broad spectrum of applications in industrial, agricultural, and medicinal chemistry due to their biological and physical properties as well as […]
Spiders (Order: Araneae) are among the most diverse and ecologically significant predatory arthropods, playing a crucial role in terrestrial food webs. Despite their importance, the spider fauna of semi-arid ecosystems in Maharashtra remains inadequately documented. The present study provides a comprehensive taxonomic documentation of spider species from Yedasi–Ramaling Wildlife Sanctuary, Osmanabad District, Maharashtra. Field surveys […]