Search
1878 articles for “Employability”
-
Design and Development of a Boundary Alert System for Fishermen
Abstract: This study presents the design and development of a Boundary Alert System for fishermen, employing the Flutter programming language. The system utilizes International Maritime Boundary Line (IMBL) The maritime border system was initiated and developed by the United Nations Convention of the Law of the Seas (UNCLOS). When a fishing vessel approaches within 500 m of these boundaries, the system triggers visual and auditory alerts for the fishermen and sends …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 31–36 Read article
-
Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
-
Security of Cloud Computing from a Blockchain Perspective
Abstract: Originally, the foundation of the Internet was trust. There are increased threats and problems after many information disclosures. We have employed even more modern Internet-based devices in recent years. Among the primary issues raised in literature, privacy, data protection, and trust require particular consideration. In this case, a new paradigm for information security has arisen, one that is built on transparency rather than the closed, cryptic methods used in present …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 7–11 Read article
-
Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
-
Artificial Intelligence Threat to Human Activities
Abstract: This study explores the multifaceted impacts of Artificial Intelligence (AI) across human activities which must be employment, privacy, social interactions, proper decision-making, and also the ethical considerations. It tries to get closer to the bottom of AI's complicated behavior by focusing on its changes, problems, and moral roots in human activities. A careful review of the research shows where there are holes and gives a full picture of the dangers …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 8–12 Read article
-
Advances in Data Security in Cryptography
Abstract: In the ultra-modern period, evaluation of networking and wireless networks within information and communication technology has brought many changes to deal with this technology using internet, growing strongly over the past several decades, data security has come a main concern for anyone connected to the web. Data security ensures that our data can only be accessed by authorized recipients and prevents any unauthorized access or alteration of the data. We …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 1–7 Read article
-
Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
-
Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
-
An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
-
Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
-
Credit Card Fraud Detection Using Machine Learning Techniques
Abstract: Credit card fraud has become a significant concern in today's digital economy, with billions of dollars being lost annually to fraudulent transactions. Conventional rule-based approaches frequently prove inadequate in addressing the constantly changing strategies employed by fraudsters. Machine learning methods have emerged as robust solutions for detecting credit card fraud, presenting the capability to accurately identify fraudulent transactions promptly. In this study, we investigate the efficiency of three widely used …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
-
Different NLP Libraries for Indian Languages
Abstract: Humans are by nature varied and multilingual. While English holds the title of the most commonly spoken language globally, Hindi is also widely used by people worldwide. Natural language processing (NLP) is the discipline of artificial intelligence (AI) concerned with providing computers the capacity to interpret text and spoken language in the same manner that humans can. People nowadays utilize products that employ NLP as their foundation, such as Alexa …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 8–14 Read article
-
The Ethics and Implications of Brain–Computer Interfaces: Enhancing Human Abilities and Redefining Privacy
Abstract: This study addresses the ethical considerations and social implications of brain–computer interface (BCI) development and integration. BCI, sometimes called a brain-machine interface (BMI) or smart brain, is a direct communication path between the brain and electrical activity and an external device, usually a computer or robotic limb. BCIs are often directed towards researching, mapping, assisting, improving, or correcting human cognitive or sensorimotor functions. The implementation of BCIs varies from non-invasive …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 24–28 Read article
-
A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
-
Secured Communication and Image Authentication: Embedding Encrypted Text Files Into Color Digital Images
Abstract: In today's digital landscape, protecting digital assets, particularly images, is paramount. Researchers have developed various techniques to safeguard these assets, emphasizing their protection and integrity. Simultaneously, steganography plays a crucial role in securely communicating confidential messages. This paper focuses on a dual-purpose technique: watermarking color digital images for protection and embedding secret messages through steganography. This fusion of functionalities represents a significant step in comprehensive asset protection and confidential communication …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 1, 2024 · pp. 10–15 Read article
-
Survey of Consumer Preference Towards E-commerce
Abstract: E-Commerce has undergone a tremendous shift in the age of globalization. Most corporate organizations have been using this technology to sell their various products for the past 10 years. For consumers in developing countries like India, online shopping offers a radically different buying experience. One of the tools available for online shopping is the facility. Numerous shoppers are attracted by the substantial discounts and offers made by the online vendors. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 2, 2024 · pp. 9–15 Read article
-
Design Analysis of PALF Natural Fiber Composite Laminate under Tensile Loading Condition using Simulation Approach
Abstract: Plant-based fibre reinforced materials are increasingly being employed for a variety of structural and non-structural purposes. Plant and animal-based fibres have different characteristics depending on a variety of circumstances. Mechanical qualities are primarily determined by parameters such as matrix, fillers, fibre content, fibre treatment, and fabrication techniques. The present work aim in analyzing the PALF natural fiber using simulation approach. In the process laminates are prepared as per ASTM standards …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 23–29 Read article
-
Geopolymer Concrete with Cenosphere as Fine Aggregate: A Material Characterisation
Abstract: Geopolymer concrete (GPC) is regarded as the successor to traditional concrete as it eliminates the requirement for conventional Portland cement during its manufacturing process, hence decreasing CO2 emissions. This study employed Cenosphere, which are lightweight fine materials, to partially substitute the volume of sand in GPC. Cenosphere was utilized in proportions of 20%, 40%, 60%, and 100%. This experiment examined the fresh and hardened characteristics, durability against freezing and thawing, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 143–151 Read article
-
DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
-
Analysis of an Awareness Program of Cyber Security in PIET, Jaipur: A Systematic Survey
Abstract: This paper presents an analysis on what the students and the new generation think an out cyber security after learning about cyber-crimes and security in an awareness program. Our knowledge of technology has dramatically increased in the past five decades, as a result it also gave us a new type of threat, cyber-threats. Through smartphones and computers, life has become easy both for individuals and big organizations. Therefore, we must …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 1, 2024 · pp. 1–9 Read article