Search
15 articles for “pattern mining”
-
An Approach for Travel Pattern Analysis Using HDBSCAN and Apriori Algorithms
Abstract: Most mega-city regions around the world are suffering from an ongoing increase in the number of commuting trips. Understanding commuting patterns is crucial for both public and authority planners. The understanding of travel patterns helps passengers to know about the places and the time where they could get vacant transport and also helps authority planners in laying out a new transport service. The traditional way of understanding travel patterns includes …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
-
Interest Level Prediction in Rental Properties Using Data Science
Abstract: A key component of forecasting home prices and rental patterns is real estate market analysis. Data science, data mining methodologies, and statistical models are some of the strategies that have been created in recent years to solve this problem. A few problems are still required to be resolved, such as the obstacles caused by the availability and quality of the data; the presence of outliers, missing values, and inconsistent formats …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 28–34 Read article
-
Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
-
Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
-
Evaluation of Prescribing Pattern of Drugs in Hemodialysis Patients
Abstract: Background: Patients undergoing hemodialysis often exhibit a high level of dependency and frequently present with multiple co-morbid conditions Chronic kidney disease (CKD) poses a significant global public health challenge, with its association with numerous complications. Prescribing medications appropriately for individuals with CKD presents a substantial challenge. Objective: The study aimed to assess the prescribing patterns of drugs in hemodialysis patients. Results: Out of the total 82 selected patients, 42 (51%) …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 20–26 Read article
-
Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
-
Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
-
Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
-
The Practical Use of Cholesteric Liquid Crystal Film for Development of New Technologies
Abstract: The use of cholesteric liquid crystal films, using the remarkable property of cholesteric liquid crystals to change their color at the temperature changes, is well known for measuring temperature, in medicine, in jewelry and so on. The article presents the practical use of cholesteric liquid crystal films in the developed musical color device, which “animates” the pattern with a multi-colored color in accordance with the frequency spectrum of the signal …
Published in Journal of Thin Films, Coating Science Technology & Application Read article
-
Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
-
Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
-
Elemental Mobility and Provenance in Sediments: A Geochemical Study of Deccan Basalts, Bay of Bengal, and Northern China
Abstract: Twenty-eight sediment samples from seventeen rivers, including the Krishna headwaters and the west-flowing Western Ghat rivers, draining the Deccan Trap basalts, were analyzed for major elements (Na, Ca, Mg, K, Al, Ti, Fe) and trace elements (Sr, Ba, Mn, P, V, Cr, Ni, Cu, and Zn). The mobility of these elements, especially Na, Ca, Mg, and Sr, was assessed by comparing their abundances in sediments and dissolved phases. Approximately 60% …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
-
Nutrition Induced Remodeling Dynamics of Cell Membranes: Implications for Performance, Health, and Welfare Issues in Food Animals
Abstract: Cell membranes represent dynamic structural and functional platforms that integrate nutritional signals with cellular metabolism, immune competence, and physiological adaptation in food animals. Beyond their classical role as selective barriers, membranes actively regulate nutrient transport, signal transduction, and bioenergetics through highly responsive lipid and protein networks. Dietary components, particularly fatty acids, vitamins, minerals, amino acids, and bioactive compounds, critically influence membrane composition, fluidity, and stability, thereby shaping cellular function and …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 25–37 Read article
-
A pre-experimental study to asses the effectiveness of structured teaching programme on knowledge regarding hazardous effects of junk food on health and its prevention among adolescent students of kashmir harward educational institute, Habak, Naseem Bagh Srinagar
Abstract: In today’s world scenario, junk food has become a prominent feature of diet for adolescents. The rapidly changing food consumption pattern and diet transition emerging in the society due to economic growth and new life style choices.Good nutrition is very essential in development of Children both physically and mentally.Children must know what they eat, it affects their growth and behaviour. Today many adolescents like to eat junk food but they …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 1, 2024 · pp. 11–18 Read article
-
Standard Manufacturing Procedure of Rajavarta Bhasma Prepared from two Varieties
Abstract: Rasaaushadhi are the backbone of Ayurveda therapeutics. Bhasma Kalpana comprises of conversion of metals and minerals into suitable form. In Rasashastra, Rajavarta (lapis lazuli) is one among Uparatna (semi-precious stone) and used as a Bhasma in Prameha (polyuria), Kshaya (emaciation), Pandu (pallor) and many more. However besides its therapeutic uses, it remains unexplored by scholars of Rasashastra. In present era, two types of Rajavarta are available in market based on …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 14–23 Read article