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1977 articles for “Event Chain Methodology (ECM)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Gut Microbiome Dysbiosis During Metabolic Disorders: Diabetes
Abstract: Understanding the intricate interplay between gut microbiome dysbiosis and diabetes is crucial due to the escalating prevalence and impact of diabetes mellitus globally. This comprehensive review examines the current understanding of this relationship, elucidating how alterations in the gut microbiome composition contribute to diabetes pathogenesis by influencing metabolic homeostasis, immune regulation, and insulin resistance. Dysregulation of gut microbial communities leads to shifts in diversity and abundance, exacerbating chronic low-grade inflammation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 56–75 Read article
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Integrated Vehicle Security System: Leveraging GPS, GSM, and Fingerprint Authentication
Abstract: The Vehicle Security System described here is a comprehensive, robust system designed to increase vehicle security using two-factor authentication. It ensures that vehicle ignition is limited to verified users by utilizing an R307 Fingerprint Module for biometric validation and a 4x4 Matrix Keypad for command input. The system has a SIM800L module that notifies the owner via text message of the results of the authentication process, thereby informing them of …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 11–16 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Data Recovery Using Brute Force Algorithm: A Review
Abstract: This article delves into the intriguing field of data recovery, with a particular emphasis on the brute force approach, a powerful yet frequently underappreciated method. We begin by exploring the evolution of data recovery techniques since the 1970s and 1980s, examining traditional methods used to retrieve lost or corrupted data. Following this historical perspective, the article provides a brief overview of various methodologies employed in data recovery, including techniques that …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
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Integrating Sensor Technologies for Modern Soldier Sentinel Systems
Abstract: The Soldier Sentinel Sensor System (S4) is a cutting-edge technology developed for enhancing situational awareness and safety for military personnel in operational environments. This abstract provides an overview of the key features and benefits of the S4 system. S4 integrates advanced sensor technologies, including biometric sensors, environmental sensors, and location tracking modules, into a wearable and robust platform. The system continuously monitors vital signs, such as heart rate, body temperature, …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 6–11 Read article
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Proposed System: Quantum Computing Processor Based on Linear Number Relation
Abstract: This paper details the design and implementation of a specialized quantum processor tailored for efficiently evaluating custom mathematical formulas. Optimized to perform a specific set of arithmetic and logical operations, this processor delivers a stable and high-performance computing platform. Unlike general-purpose quantum processors, which are designed for versatility across a wide range of algorithms, this dedicated processor aims to enhance performance and accuracy for a targeted set of tasks. The …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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Silkworm Growth and Silk Yield under Changing Climatic Conditions: Challenges and Adaptations
Abstract: Climate change is emerging as a critical factor affecting agriculture and sericulture industries worldwide. Rising global temperatures, shifting rainfall patterns, and the growing frequency of extreme weather events present ever challenges to the growth and productivity of silkworms (Bombyx mori L.). Silkworms are extremely sensitive to environmental conditions like temperature, humidity, and photoperiod, all altered by climate change. Higher temperatures can accelerate silkworm metabolism, reduce silk yield, and increase susceptibility …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 1–5 Read article
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Cyanophycin: Production and Its Role as Stabilizer in Nanoparticle Synthesis
Abstract: Cyanophycin also known as cyanophycin granule polypeptide, an exceptional biopolymer produced by diverse cyanobacteria, has attracted considerable attention because of its potential uses in various environmental and biomedical field. In this review paper, we examine the current knowledge about cyanophycin production under different culture mediums and supplements that are consumed by varieties of microorganisms. Cyanobacteria have the capacity to produce cyanophycin, a nitrogen-rich compound generated under stress conditions, such as …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 13–26 Read article
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Simulation of Adder Circuit Using Reversible Gates in Verilog HDL
Abstract: The emerging field of quantum computing uses quantum logic gates. The reversibility of logic gates is an important aspect of quantum logic gates used in VLSI and quantum computing. Reversibility ensures that power consumption is minimized. This study explores the field of reversible logic and utilizes Peres gate to develop a full adder circuit that shows a significant reduction in power consumption in simulations performed in Xilinx Vivado. We have …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 32–38 Read article
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Balloon Deployment Strategies for Projectile Deterrence
Abstract: This paper presents a defense strategy inspired by historical precedents, aimed at neutralizing subsonic projectiles using a swarm of balloons filled with explosive and buoyant gases, such as hydrogen. The balloons are arranged in a swarm to effectively intercept multiple incoming projectiles. Numerous military and security uses are possible for them. Operating costs for lighter-than-air aircraft are lower than those of traditional fixed-wing aircraft. Lighter-than-air vehicles can be made less …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 25–29 Read article
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Application-based Effective Curriculum Design and Development for Employability
Abstract: Employability is becoming a major objective of education today. Every institution is striving to make their students employable. This paper mainly focuses on the theme of outcome-based education’s “effective curriculum design and development” and its present significance. We propose to have a fine blend of Fundamentals and factors in the curriculum design. Considering these factors of the novel approach, a model employability curriculum has been proposed and compared. A case …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 11–17 Read article
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Stealth Listening Device and Global Positioning System Tracker
Abstract: The Audio Spy and GPS tracker device functions as a covert listening tool, enabling users to secretly overhear conversations through a cellular network. Additionally, it serves as an SOS (Save Our Souls) button, allowing users to send their current location via SMS with a simple press of a button. This feature also initiates a call to a designated SOS number, while the device can be tracked by sending a single …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 1–6 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Targeting Vasopressin 2 Receptor (V2R) in Renal Cystogenesis by Exploring the Nephroprotective Potential of “Terminalia arjuna”
Abstract: Objectives: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder, leading to the formation of multiple cysts in the kidneys. It is a major cause of end-stage renal disease (ESRD), which often requires dialysis or a kidney transplant for survival. This research focuses on identifying potential bioactive compounds derived from natural sources that show promise for drug development targeting the V2R gene. Methods: The naturally occurred …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 14–24 Read article