Search
135 articles for “deep learning”
-
The Life-changing Impact of Mental Health Trackers
Abstract: This study explores the revolutionary potential of mental health trackers, which are cutting-edge digital technologies that have become essential in tackling the many issues surrounding psychological well-being in modern times. This study article delves into the various typologies and technological breakthroughs of mental health trackers, emphasizing their ability to empower people from all walks of life to actively monitor and nurture their mental health. The research results emphasize how mental …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 29–33 Read article
-
A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
-
Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
-
Retrofitting Coaching Centers into Commercial Spaces
Abstract: The rapid expansion of the private education sector in India, particularly in the post-1991 era, hascreated a plethora of investment opportunities. One notable segment within this sector is the coachingindustry, which has witnessed remarkable growth, transforming from small-scale individual tuitioncenters to large-scale coaching companies. The proliferation of private tutoring centers across thecountry, even in smaller cities, has sparked a significant debate about their role and impact on theformal education system. …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 2, 2024 · pp. 22–31 Read article
-
Compliance & Practices Related to Inhalation Therapy (MDI/DPI) Among Asthma Patients
Abstract: BackgroundAsthma is respiratory disease characterized by acute episode of spasm of bronchi in lungs leading to difficulty in breathing.Most often it is related to theallergic reaction of airways.It is treated with inhalation therapy that is metered dose inhaler (MDI) and dry powder inhaler (DPI).However, the desired treatment outcomes are not observed due to ineffective compliance and practices of MDI /DPI (metered dose inhaler and dry powder inhalers)Aims and objectivesAssess the …
Published in International Journal of Medical Surgical Nursing · Vol. 3, Issue 1, 2020 · pp. 25–31 Read article
-
Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
-
SYNTHETIC MEDICAL DATA GENERATIONUSING GAN MODEL
Abstract: The healthcare industry has witnessed growing interest in synthetic data generation, driven by increasing demands for large and diverse datasets. Real medical data is often inaccessible due to stringent privacy laws, data scarcity, and ethical considerations. Sophisticated models, such as Generative Adversarial Networks (GANs), have emerged as powerful tools to generate synthetic data that closely resembles real-world data. This approach is particularly effective for addressing the challenges of researching rare …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
-
Future Trends in Web Analytics: A Comprehensive Review
Abstract: This review paper explores future trends in web analytics, focusing on their impact on business and technological advancements. The paper discusses critical areas such as advanced data analytics, mobile analytics, offline and online data integration, privacy protection, and data visualisation. Drawing upon scientific literature, the paper highlights the significance of artificial intelligence, machine learning, and sentiment analysis in deepening data insights. Integrating offline and online data and the growing importance …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 12–17 Read article
-
The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
-
Enhancing Learning With Nature Inspired Design In Schools
Abstract: This research explores the potential of nature-inspired design in enhancing the learning environment across schools. By integrating environmental elements and principles into school architecture and interiors, the study aims to investigate the impact on students’ cognitive, emotional, and social development. Through a comprehensive analysis of existing research, case studies of successful nature- inspired schools, and empirical data collection, this paper seeks to establish a strong correlation between biophilic design and …
Published in International Journal of Town Planning and Management · Vol. 10, Issue 2, 2024 · pp. 18–27 Read article
-
Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
-
Inclusive Interiors for Neurodiverse Students
Abstract: Designing educational environments for neurodiverse students requires a comprehensive understanding of their sensory, cognitive, and emotional needs. This research explores the development of a school tailored specifically for neurodiverse learners, focusing on creating inclusive, comfortable, and effective learning spaces. The research adopts a mixed-methods approach, incorporating qualitative interviews with educators, students, and parents, and quantitative analysis of case studies from neurodiverse-friendly schools. The study also utilizes observational research to assess …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 2, 2024 · pp. 44–59 Read article
-
Recommendation System: An Algebraic Perspective of Machine Learning with Knowledge Endorsement
Abstract: ABSTRACTLearning is continual process and machine learning is innovative approach towards information management as well as knowledge management. The endorsement of knowledge in association of big data is crucial task. The machine learning algorithm and technologies gives an insight towards better expansions and consolidation of knowledge. For optimization of knowledge recommendation system plays an important role and gives ground to produce solution. The role of recommendation system is basically one …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 30–34 Read article
-
No More Shakes
Abstract: Balance rehabilitation therapy is an applicable and exercise-based program which is formed to promote vestibular adaptation and substitution. The goals of balance rehabilitation include enhancement of gaze and postural stability, improvement of vertigo, and activities of daily living. The brain copes with the disorienting signals coming from the inner ears to rely more on alternative signals coming from the eyes, ankle, legs and neck to maintain balance. It will be …
Published in International Journal of Neurological Nursing · Vol. 6, Issue 2, 2020 · pp. 62–65 Read article
-
Transportable Water and Air Quality Monitoring Equipment Karishma
Abstract: The purpose of this article is to provide a broad summary of recent discoveries, identify important constraints, and suggest future lines of inquiry. In recent years, pollution has surpassed the environment's bearing capacity. There hasn't been much progress despite the installation of multiple pollution-control initiatives. Natural resources are occasionally exploited by unavoidable waste discharges, despite our government's best attempts to safeguard them. For instance, the water-intensive and polluting sectors of …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 Read article
-
Rethinking Design Education: Climate-Responsive Practices and Active Engagement
Abstract: Climate-responsive design has become essential with the growing emphasis on sustainability, particularly in line with Sustainable Development Goal (SDG) 11: Sustainable Cities and Communities, which calls for future architects to be equipped with both theoretical knowledge and practical skills. The increasing importance of quantitative analysis in climate-responsive design has made it crucial for architectural education to incorporate both intuitive and data-driven approaches. To prepare future architects, schools must ensure that …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 34–46 Read article
-
Exploring the Insider-Outsider Perspective in Interpreting Indigenous Built Heritage: A Case of Sahariya Tribe in Madhya Pradesh
Abstract: Globally, cross-cultural research has become important especially for understanding marginalized and vulnerable voices allowing researchers to find answers resonating with these communities’ lived experiences. A very critical concept in cross-cultural research is the insider-outsider positionality as subjective interpretations contribute towards determining the notion of heritage and influence the outcome of the qualitative research. This paper examines the above-mentioned duality in establishing built heritage of tribal communities in Indian context. In …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 1, 2025 · pp. 18–24 Read article
-
Algorithmic Approaches for Data Mining and Machine Learning
Abstract: ABSTRACTTrends and technology always innovative and comes with some new. Sometimes technologies are introduces in more user friendly environment. In such version of technology advancement are also incorporated. Data mining is a best widespread knowledge attainment approach for knowledge discovery. The naval trends Machine learning also have a big interfere of data mining. Infect most of the data mining algorithm and methods are utilized for machine learning with minor amendment …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 24–29 Read article
-
Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
-
Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article