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1874 articles for “ITS approach” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Human–Nature Relationships and Sustainable Development: Insights from Environmental Studies
Abstract: The accelerating environmental crisis highlights the need to re-examine the fundamental relationship between humans and nature. Conventional development models often promote a utilitarian view of nature, leading to ecological degradation, biodiversity loss, climate change, and unsustainable resource use. The research problem addressed in this study is the inadequate integration of human–nature relationship perspectives within sustainable development frameworks, despite growing recognition that environmental sustainability depends not only on technological innovations and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 38–43 Read article
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Dynamic Price Model for E-Commerce
Abstract: Retailers may now respond to fluctuating demand, inventory levels, competitor activities, consumer traits, and market circumstances using dynamic pricing, a data-driven technique that has become more significant in e-commerce. Modern pricing systems are much more complex and responsive than they were in the past due to the fast advancements in artificial intelligence (AI), machine learning (ML), big data analytics, and reinforcement learning. This review critically examines recent developments in dynamic …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 45–55 Read article
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A Shell Programming Framework for Automated Risk Assessment and Security Control in Linux Operating Systems
Abstract: Linux operating systems are widely used in servers, embedded platforms, cloud infrastructure, and high-performance computing environments, making continuous system monitoring and risk assessment essential for maintaining security and operational reliability. Conventional risk assessment approaches often rely on individual system commands and manual interpretation of processor, memory, process, file, and security information, which can limit timely identification of abnormal system conditions. This paper proposes a Bash shell programming-based automated risk assessment …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 55–66 Read article
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Decoding Software Success: A Study of Five Engineering Models
Abstract: Choosing the right software development life cycle (SDLC) model plays a vital role in determining the overall success of a software development project, as it directly affects the planning, execution, quality, and timely delivery of the final product. Different software engineering models provide structured approaches for planning, designing, developing, testing, deploying, and maintaining software systems, with each model offering distinct advantages depending on project characteristics. This study presents a comparative …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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To Control Home Appliances Using Hand Gesture Recognition
Abstract: Now a day, Remote Control System (RCS) is popular to control home appliances. At same time, Hand Gesture Recognition (HGR) has superseded remote control system with rapid growth in technology. There are various approaches that are applied to Hand Gesture Recognition. Most of approaches are based on three Stages: Preprocessing, Feature-Extraction and Classification. These approaches require hand gesture as an input to system; perform wide variety of mathematical algorithm to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 29–34 Read article
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A Survey on Multiobjective Decision Making on Vague Sets
Abstract: This paper provides report of a survey on the vague sets and also multiobjective decision making. As a further fuzzy set theory generalization, the vague set theory can overcome the fuzzy set shortcomings through defining the membership from two different sides of both FALSE and TRUE, rather than only through a value of a single membership. MCDM approach has evolved to accommodate numerous application types. Methods dozens have been developed, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Impregnability Framework For PMO
Abstract: Artificial Intelligence, when used with desired hardware systems has proven to be effective and smart than human surveillance and CCTV's, satellites are taking positions of watchmen and guardians for monitoring purposes with basic security concepts and development of AI aided security systems takes in use of what we have learnt over the period of our course. The proposed network security model for the Prime Minister’s office (PMO) includes both the …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 11–16 Read article
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Content Based Document Image Indexing and Retrieval using Hybrid of Quadtree and Sparse Matrix Structure
Abstract: The fundamental consideration in the design & development of a content based image retrieval system is to extract the image features that best represent the image contents in a database. Currently several image indexing approaches based on Quadtree do exist. In this paper, the proposed approach is primarily concentrating on database classification for efficient image representation and effective retrieval using Quadtree decomposition technique augmented by sparse based index structure. In …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 18–27 Read article
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Modified Genetic Algorithm for Performing the Regression Testing
Abstract: AbstractIt states simply what work Software Testing is an approach where deferent errors and bugs in the software are identified. To test software we need the test cases. One of the mainly imperative activities in software maintenance is Regression Testing. The re-execution of all test cases throughout the regression testing is expensive and time consuming. And even though several of the code based planned techniques by researchers address technical programs. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 69–75 Read article
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Design and Evaluation of Dynamic Testing in Object Oriented Programming Through Computational Techniques
Abstract: Software testing is one of the most labour-intensive and expensive phase of the software development life cycle. It is an important and valuable part of it. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a numerous search-based optimization techniques are available for better accuracy in testing. The aim of this paper is to …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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Diagnosis of Breast Cancer by Image Processing and Acquisition
Abstract: Abstract— Cancer is one of the deadliest disease in the current world and among breast cancer is found about 24%-28% among all the reported cases. In this paper development of CAD systems is discussed which reduces human interference and increases preciseness in the diagnosis of breast cancer. Mammography is a technique widely followed by radiologists for the detection and diagnosis of tumors. Introduction of digital imaging helped in acquiring high …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 30–36 Read article
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An Algorithm for Road Sign Detection and Recognition using HOG and SVM
Abstract: Recognizing traffic signs is a challenging problem; and it has captured the attention of the computer vision community for several decades. Essentially, traffic sign recognition is a multi-class classification problem that has become a real challenge for computer vision and machine learning techniques. We present a system which will detect the road sign with shape detection technique. Further recognition of road sign is carried out using Histogram Oriented Gradient and …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Optimized Test Suites with Small Code Coverage in Software Testing
Abstract: A common scenario in software testing is to test the data is to be generated and tester manually adds test oracles.It meausured using code coverage and fundamental problemwith common apporach is coverage the goals and how an of them are feasible. In this whole test suites are evovled covering all goals at same time.Its effectiveness not added by number of infeasible targets in code.It has a novel approach in approach …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 24–27 Read article
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Web Mining Competitors Analyses for Frequent Unstructured Dataset Using Pattern Mining Utility Incremental Ranking Results Based on Query Process
Abstract: Abstract Nowadays, the mining competition in the market requires best approach fir every company to distinguish not only which companies are its primary competitors but also in whichdomains the company’s rivals compete with itself and what its competitors’ strength is in a specific competitive domain. The task ofcompetitor mining that we address in the paper includes mining all the information such as competitors, competing domains, andcompetitors’ strengthproblems which potential privacy …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 38–46 Read article
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Semantic Web Mining: Survey and Analysis
Abstract: Data on World Wide Web is growing at a tremendous rate and information overload becoming a major problem. Due to this, finding the relevant documents and extracting useful information has become a challenging task. Semantic web mining deals with these challenges. A review of the existing semantic web mining approaches is presented in this paper. The paper explores different semantic web mining approaches and compares them that are based on …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 20–31 Read article
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Detection of Cyberbullying on Social Media Using Machine Learning
Abstract: Online harassment disturbance by cyberbullying has grave repercussions. The majority of social networks have it in textual format and it exists in various forms. It is undeniable that more than 1.96 billion people are affected by social interactions online. However, as we move into the next decade, there are significant challenges to be faced in regulating user behaviour. The prevalence of harassment, bullying, and victimization has become a serious problem …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
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Scientific Computing with the KotlinSci Open-source Framework
Abstract: KotlinSci is a framework for scientific computing for the Java Virtual Machine (JVM). The paper illustrates that KotlinSci can significantly facilitate and simplify the development of complex computational demanded scientific software at the JVM. The work compares Java based approaches with Kotlin ones, and illustrates the significant advantages of the enhanced flexibility of the Kotlin language. We illustrate that one of the more significant drawbacks of Java is its lack …
Published in Journal of Open Source Developments · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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AgriApp: The Trading App
Abstract: AgriApp is an online mobile application designed for the purpose of online trading. The purpose behind developing the AgriApp is to help farmers to sell their merchandises online and to eliminate any third party or middleman seeking out their profit for the crop they produce in the field. The application is developed on react native to make it capable of running on all three platforms of web, iOS and android. …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article