Search
674 articles for “pattern”
-
A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
-
Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
-
Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
-
Assessment of Fire and Life Safety in Rural Settlements in India
Abstract: Fire incidents pose a significant threat to life and property in rural India, particularly in residences. Despite strides in urban fire safety, rural areas continue to face frequent fire incidents, posing significant risks to lives and properties. This paper presents a thorough review of existing literature on fire safety assessment in rural Indian settlements focusing on unique vulnerabilities specific to this context. In rural settings, various factors contribute to the …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 47–53 Read article
-
Global Burden of Major Depressive Disorder: Prevalence, Diagnosis, and Impact: A Comprehensive review
Abstract: In this review, we will discuss about the major depressive disorders on the basis of neurobiological changes. MDD, a prevalent psychiatric condition, manifests as a complex interplay of genetic, environmental, and physiological factors with a substantial impact on individuals and societies globally. Here the clinical assessment is fully based on diagnosis and the statistical manual for mental disorder, 5th edition (DSM-5). The pathophysiology involves Diagnosis alterations in neurotransmitter systems, dysregulation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 54–62 Read article
-
Fortifying the Blockchain Fortress: A Machine Learning Paradigm for Enhanced Security
Abstract: Blockchain technology has emerged as a revolutionary tool in the digital landscape, enabling secure and transparent transactions across a decentralized network. Despite its robust security features, blockchain systems remain vulnerable to anomalies and malicious activities. The detection of these anomalies using machine learning has become essential for protecting blockchain networks and ensuring their integrity. This project delves into the application of machine learning techniques to detect abnormal patterns within blockchain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 33–40 Read article
-
Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
-
Examining Connective Tissue Changes Across Various Grades of Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma: A Histochemical Polymeric Investigation
Abstract: Oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OSCC) represent a spectrum of potentially malignant disorders posing significant challenges in diagnosis and management. The tumor microenvironment, particularly alterations in the connective tissue, plays a crucial role in the progression of these lesions. This histochemical investigation comprised with embedded polymers aimed to examine connective tissue changes across various grades of oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OSCC). …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 124–137 Read article
-
Exploring Biomedical Innovations in the Formulation and Assessment of Medicated Hard Candy Lozenges Containing Metoclopramide Hydrochloride
Abstract: The objective of this study was to formulate and evaluate metoclopramide hydrochloride medicated lozenges for antiemetic action through buccal absorption by incorporating a polymer. All formulations were developed and assessed for in-vitro drug release, physical appearance, weight variation, thickness, hardness, moisture content, mouth-dissolving time, and drug content. The prepared lozenges exhibited uniformity in weight and thickness. The hardness of all formulations ranged between 7.3–15.50 kg/cm², falling within standard limits. The …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 50–62 Read article
-
A study to access the knowledge of adolscents’s girls prevention of iron deficiency anemia in modern government girls inter college pantnagar U.S.,nagar, uttarakhand with a view to develop an information booklet on prevention and management of iron deficiency anemia
Abstract: A study was conducted at Modern Government Girls Inter College in Pant Nagar, U.S. Nagar, Uttarakhand, aiming to assess adolescent girls' knowledge of preventing iron deficiency anemia and to develop effective educational materials. The research employed a non-experimental design, selecting a sample of 100 adolescent girls through convenient sampling. Data collection involved two parts: Part A covered demographic variables, while Part B consisted of a 32-item knowledge questionnaire on anemia …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 44–53 Read article
-
Advanced Private Cloud Security and Privacy Preservation Through the Integration of Machine Learning and Cryptography
Abstract: In modern technological landscapes, private cloud security is of paramount concern due to the ever-increasing volume and complexity of cyber threats. This research work explores the integration of machine learning and cryptography to enhance security within private cloud environments. This study aims to mitigate vulnerabilities that may compromise data integrity, confidentiality, and availability in private cloud infrastructures by using machine learning algorithms and strong cryptography. By detecting anomalous cloud patterns …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
-
Big Data Analytics in Healthcare: Revolutionizing Patient Care with IoT
Abstract: Patient care is undergoing a transformation thanks to the Internet of Things (IoT) and Big Data Analytics, which are enabling more accurate, proactive, and customized medical interventions. This paper explores how the integration of IoT devices with advanced data analytics can transform healthcare delivery. By collecting and analyzing vast amounts of real-time data from wearable devices, remote monitoring systems, and smart medical equipment, healthcare providers can gain valuable insights into …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 Read article
-
Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
-
Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments
Abstract: This paper explores the interdependent relationship between mental and physical health, highlighting the impact of stress and anxiety on the body by introducing an innovative Real- Time Health Monitoring System. This system monitors both mental well-being and physical health using advanced physical health sensors and Facial Emotion Recognition (FER) technology. Leveraging high-precision sensors such as Temperature and pulse oximeters, it continuously monitors vital physiological parameters such as Body Temperature and …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
-
Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
-
Geopolymer Concrete Composites and its Properties- A Clean and Sustainable Development
Abstract: Production of geopolymer composites, an inventive and environmentally friendly substitute for regular Portland cement concrete, involves the polymerization of several industrial waste materials, including fly ash, powdered granulated blast furnace slag, silica fume, and rice husk ash, using solutions that are very alkaline. Because this technique removes the requirement for calcination, which is a significant contributor of CO2 emissions during the manufacturing of OPC, GPC is more ecologically friendly. Alkaline …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 284–300 Read article
-
Bioconjugates and Biohybrid Polymers: Intricate Cellular Integration Methods and Sophisticated Biofunctionalization Techniques for Tailored Properties in Medical Contexts
Abstract: Bioconjugates are made when biological molecules are covalently linked to manufactured polymers. They can be used in many ways for imaging, diagnosis, and specific drug delivery. Getting perfect cellular fusion is very important for how well they work. Biomolecules can be attached to polymer scaffolds in a controlled way using techniques like click chemistry and site-specific conjugation. This makes sure that the molecules connect optimally with their biological targets. Using …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 227–243 Read article
-
Automatic Stroke Recovery Rate Prediction System Based on Movement Analysis During Computer Interaction
Abstract: Stroke is a major health concern worldwide, often resulting in impaired motor functions and affecting the quality of life for affected individuals. This research introduces an innovative approach for predicting stroke recovery rates by leveraging movement analysis during computer interaction. The proposed system aims to provide a non-invasive and automated solution to assess the rehabilitation progress of stroke survivors. The system utilizes advanced motion tracking technologies to capture and analyze …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 76–82 Read article
-
Exploring Diagrid Efficiency: A Modern Analysis of Lateral Load Resistance Across Building Heights
Abstract: Modern architectural design and engineering often feature innovative structural systems, with diagrid structures standing out as an aesthetically appealing solution for tall buildings due to their geometrically complex patterns. Despite extensive global research on diagrids, a comprehensive study systematically comparing their structural efficiency is still lacking. The structural efficiency and seismic performance of diagrid lateral load-resisting systems were evaluated in this thesis. The study compared the diagrid system's effectiveness against …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 2, 2024 · pp. 11–23 Read article
-
The Stakeholder Integration Model for Sustainable Infrastructure Management in Africa
Abstract: Construction is highly fragmented across multiple stakeholder expectations. But then studies focusing on stakeholder integration (SI) for sustainable infrastructure management (SIM) are still evolving, this paper conducted a systematic literature review on SI for SIM in the last 20 years to identify the current trends and strategies. Through semi-structured interviews of 20 practicing managers of infrastructures in the African public sector, it further explored the identified current trends and strategies …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 2, 2024 · pp. 24–37 Read article