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710 articles for “data patterns”
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Speed Invariant Gait Identification using Frequency Domain Feature
Abstract: Changes in walking speeds is one of the most challenging covariates in gait identification. Walking speed change is accountable to significantly alter walking patterns of an individual. This covariate is also responsible for the intra-class variations; and for that, the training dataset fails to cope with. This covariate may affect some parts of human gait and keep other parts untouched. To address this issue, parts definition and selection is carried …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 47–55 Read article
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XML Query Optimization for Improvement of Data Warehouses Information Processing
Abstract: XML data warehouses give decision-support systems a chance to use complicated data by giving them a place to start. But native-XML database management systems are slow right now, so it is important to look into ways to make them faster. This study presents two strategies to think about. To start, we suggest using a link index that was made with the fact that XML warehouses have a lot of dimensions …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 40–53 Read article
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Vascular plant diversity in the Nirmala College, Ranchi, India
Abstract: A year-long eco-biological study of campus of Nirmala College, Ranchi revealed the occurrence of more than 40 species of various vascular plant belonging to family Asteraceae, Fabaceae, Meliaceae, Caesalpiniaceae, Anacardiaceae, Rubiaceae, Lamiaceae, Solanaceae, Amaranthaceae, Euphorbiaceae and Apocynaceae. The campus is neatly covered under lush green branches of tall trees. There are about 250 large trees. A total of 45 species of angiosperms were observed. Extensive surveys were conducted to document …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 1, 2018 · pp. 16–18 Read article
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Landscape Classification of Sariska National Park (India) and its Environments using Geospatial Technology
Abstract: The relationship between land use/land cover (LULC) changes and land degradation over a period of 20 years (1989–2009) at Sariska National Park (India), and its environment was investigated using remotely sensed and ancillary data. The study analyzed the magnitude and direction of temporal LULC changes for two consecutive periods; 1989–2009. The temporal change patterns of LULC were analyzed through interpretation of LANDSAT imagery. Final land cover maps produced under four …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 1, 2018 · pp. 5–14 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
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Preliminary Checklist of Acridoidea (Orthoptera) of Patna District, Bihar (India)
Abstract: The family Acrididae, which falls under the order Orthoptera includes locusts and grasshoppers. Insects are found all over the globe. In general, locusts refer to larger acridids, while smaller species are known as grasshoppers. The comprehensive study indicates that there are 19 species from various families, which include 12 species from Acrididae, 4 Catantopidae, and 3 from Pyrgomorphidae. A thorough investigation was carried out across different crops and habitats to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 67–71 Read article
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To Study The Drug Utilization Pattern of Drugs Used in Treatment of Thyroid Patients in Tertiary Care Hospital, Bathinda
Abstract: Aim: This study aimed to assess the drug prescription trends for thyroid disorders in a tertiary care setting, with a focus on medication choice, dosage patterns, and patient self-medication behaviour. Methods: A prospective observational study was conducted on 84 patients diagnosed with thyroid disorders. Data were collected regarding the type of disorder, prescribed drugs (dose and frequency), comorbidities, and self-medication practices. Descriptive statistics were applied to identify prescription trends. Results: …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 59–66 Read article
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Finite Element Analysis and Validation of Axial Capacity of RC Columns Made of Steel Fiber Reinforced Concrete (SFRC)
Abstract: Steel Fiber Reinforced Concrete (SFRC) possesses many excellent dynamic performances such as; high resistance to explosion and penetration. It has little effect on pre-cracking behavior in uniaxial compression, but substantially enhances its post cracking response. This response leads to a greatly improved ductility and toughness. Steel fibers in SFRC are capable of preventing crack propagation as well as brittle failure of columns under uniaxial compression. To this end, four reinforced …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 9–14 Read article
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A Novel Approach for Enhancing Direct Hashing and Pruning for Association Rule Mining
Abstract: ABSTRACTData Mining has been considered as a promising field in the intersection of databases, artificial intelligence and machine learning. Association rule mining has been one of the most popular data mining subjects, which can be simply defined as finding interesting rules from large collections of data. This paper introduces an enhanced hashing approach in discovering associations for largeitemsets. The proposed hashing approach scans the entire database only once using the …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 1–8 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Patient Profile and Antimicrobial Susceptibility Testingin Clinical Isolates of Staphylococcus aureus
Abstract: INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium capable of causing various infections, ranging from minor skin infections to serious bloodstream infections. The rise of methicillin-resistant S. aureus (MRSA) strains has made treating these infections more challenging, as MRSA is frequently resistant to several types of antibiotics.. OBJECTIVE: The aim of this study was to investigate the patient profile and antimicrobial susceptibility patterns of clinical isolates of S. aureus in a …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 31–38 Read article
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A Study and Report on Assessment of Antibiotic Prescribing Patterns and Drug Resistance Among Various Infectious Diseases in Hospital
Abstract: Antimicrobial resistance remains the biggest cause of death worldwide. According to the World Health Organization, the age standardized mortality due to infectious diseases in India in 2008 was 377 per 100,000 persons, which is considered as highest in South Asia. This has led to the increased prescribing of antibiotics even at unnecessary conditions, which increased the rate of inappropriate prescribing of antibiotics, which in turn resulted in the emergence of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 2, 2021 · pp. 5–35 Read article
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Integration of Soil Profile Data in Crop Prediction Models: A Comprehensive Review
Abstract: Farmers in many areas of India are having crop production issues due to soil and climate. There is no comprehensive guide accessible to assist them in developing the appropriate types of plants using modern technology. Farmers may be unable to benefit from agricultural scientific developments due to illiteracy and may continue to rely on human practises. This complicates getting the desired yield. Crop failure, for example, could be the result …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 6–11 Read article
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Analysing Dietary Patterns and Unravelling the Factors behind Obesity: A Comprehensive Evaluation
Abstract: The purpose of this research paper is to identify the changes that occurred in the food habits of people in the past few years. This research is based on the findings for the evaluation that have been done on the food habits of people in the past few years and the rise of the rate of obesity percentage and the rate of diabetic patients in these years. And finding the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 45–50 Read article
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IoT-Based Power Monitoring System
Abstract: Today, in many smart systems, IOT plays an important role. It is mostly used in power monitoring, Household applications, and also in industrial applications. In that, power is the most important thing that is to be monitored, controlled and properly utilized. In this paper, a system is designed for monitor and control the street lights of particular area. With the help of LDR, power consumption is possible. Customers and system …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 16–24 Read article
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Enhancing Palm Print Recognition System
Abstract: Palmprint is the most popular and reliable feature of biometric system. From the palmprint different features can be extracted for recognition. In this paper the method of personal identification is based on broken lines and repeated lines of palm. The image of a palm captured from database contains not only the principal lines but also irregular lines like repeated lines and broken lines. The proposed method extracts the pattern lines …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 61–69 Read article