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502 articles for “modern methods”
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Literature of Green Architecture
Abstract: The term green architecture implies the use of environmental principles as the basis when designing buildings. In this perspective, the architecture of the future aims at synthesizing nature, technology, science, and even the imagination in the construction industry. The following paper explores green architecture on a generalized basis, which discusses its basic features, practices and the repercussions of green design on environmental sustainability. A key component of eco-architecture is to …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 1, 2024 · pp. 47–53 Read article
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Vedic Chemical Insights as Precursors to Modern Green and Sustainable Chemistry: An SDGAligned Perspective
Abstract: This paper explores the chemical insights found in ancient Vedic texts and their relevance to contemporary green and sustainable chemistry. It examines the alchemical traditions described in Vedic literature, such as Rasaśāstra, which integrate material and spiritual aspects of transformation. The study investigates how ancient chemical processes align with modern principles of green chemistry, including waste reduction, use of renewable resources, and energy efficiency. By analyzing the parallels between Vedic …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 36–48 Read article
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Photochemical Insights into Light: Responsive Heterocyclic Compounds
Abstract: eterocyclic compounds are significant in a wide range of chemical fields. They are crucial components of the structural makeup of bioactive substances. Such compounds can be conveniently transformed through photochemical processes. Chemical reagents are rarely utilized. It is possible for members of one compound family to change into members of another. There is discussion of three key categories of photochemical rearrangements involving heterocyclic compounds: Photochemical reactions involving hydrogen atom transfer …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 01–07 Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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Review of Amphibious Structures as A Flood Resilience Strategy Around the World
Abstract: Over time, people have settled in communities that are fluvial flood zones and located at low elevations due to limited access to land, strong cultural ties that continue for generations, and economic factors that make relocation nearly impossible. "Our homes are stitched into the landscape," some say, "we have nowhere else to go." However, when the water continues to invade year after year, these populations face a perpetual threat to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 11–27 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Task and Resources Administration Methodology
Abstract: The field of app development has evolved into a dynamic and transformative industry, significantly shaping our interaction with technology in daily life. In today's fast-paced and ever-changing world, mobile application development has emerged as a key driver of innovation, convenience, and connectivity. This multifaceted discipline brings together a diverse range of skills and technologies, converging to transform ideas into intuitive and functional applications. At its essence, app development involves the …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 50–54 Read article
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Vedic Mathematics in Algebra Techniques, and Problem-Solving Benefits
Abstract: The sixteen Sutras and thirteen Sub-Sutras form the foundation of Vedic algebraic mathematics. This article discusses the Buddha's teachings and shows how to use them to solve algebra problems. Unified mathematics is defined as a state where processes can refer to and understand each other. Vedic formulas, which can be utilized for addition, subtraction, division, and other mathematical operations, are taught with examples. Vedic mathematics not only saves time, but …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 23–28 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Nephrotoxic Effect of Herbal Medicine and Supplements: A Review
Abstract: Nowadays, alternative medicines have become a multibillion-dollar industry and continue growing. Herbal medicine is one of the primeval forms of medicine which is prepared exclusively from herbal plants. The Ayurvedic medicinal cure method is also been used as a prescription for chronic diseases such as cancer, asthma, diabetes, and end-stage renal diseases and increasing interest in European countries respectively. According to the report of world health organization (WHO), 4 billion …
Published in Research and Reviews: A Journal of Toxicology · Vol. 9, Issue 2, 2019 · pp. 28–35 Read article
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Ethnopharmacological Insights: Uncovering Plant-Based Neuroprotective Treatments for Neurodegenerative Disorders
Abstract: The development of plant-based therapies for neurodegenerative diseases holds significant promise due to the therapeutic potential of natural compounds, such as Laurus nobilis, Aronia melanocarpa, and celastrol. This review identifies critical literature gaps in the current research, including inconsistent extraction methods, lack of clinical trials, insufficient documentation of long-term effects, limited mechanistic insights, and poor bioavailability. Addressing these gaps through standardization, rigorous clinical trials, advanced delivery systems, and comprehensive ethnopharmacological …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 13–18 Read article
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The Concept of Guillain-Barré Syndrome (GBS) in Unani Medicine and the Potential Role of Unani Pharmacology in Its Management
Abstract: Introduction: Guillain–Barré Syndrome (GBS) is an autoimmune neurological disorder characterized by progressive muscle weakness and paralysis due to immune-mediated damage to the peripheral nervous system. Conventional treatments focus on immunotherapy and supportive care, but alternative approaches, such as Unani Medicine offer promising holistic management strategies. Unani Medicine attributes GBS to humoral imbalance, particularly an excess of Balgham (Phlegm) affecting nerve function, leading to weakness and dysfunction. Objective: This study aims …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 32–52 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Transformer Health Monitoring System
Abstract: Rising demands for reliable and efficient power distribution in modern electric control grid increasingly call up for robust monitoring systems for critical substructure. Being a vital part of the power conduction system, transformer are subjected to mechanical, electrical, and environmental stresses, which, if not properly controlled, can cause failures. In this project, we propose a Transformer Health Monitoring System (THMS) using machine learning (ML) models and real-time monitoring method to …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article
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Guardian of the Sky: Drone Detection and Jamming Technology
Abstract: India has reported remarkable growth in drones in the past ten years for both commercial and defense uses that led to extremely intricate problems. Systems operate as the major onset of the risks involved that might be associated with drone operations. This article provides a comprehensive evaluation of counter-drone systems, with a particular focus on two fundamental aspects: radar targeting, tracking, and other technologies. The main objective of the study …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 19–25 Read article
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Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
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Review on the NVH Sources in an Electric Vehicle and Their Respective Contribution in Overall Noise from an Electric Vehicle
Abstract: NVH, which stands for noise, vibration, and harshness, typically ranks within the top five attributes in terms of priority during the design phase of automotive vehicles. As electric vehicles become increasingly prevalent in modern transportation, the management of Noise, Vibration, and Harshness (NVH) has emerged as a critical aspect of vehicle design and refinement. This review paper aims to provide a thorough examination of the NVH sources within EV powertrains …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–15 Read article
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Assessment of Differential Global Positioning System (DGPS Technology for Generating Accurate Topographic Maps and Controls: A Case Study of Farin-Lamba to Kwali College Area"
Abstract: This study investigates the application of Differential Global Positioning System (DGPS) for topographic mapping and control point establishment in Farin-Lamba to Kwali College Area. The second order Survey controls extension are critical indices for ensuring structural and border control mechanisms in environmental development projects. However, creating these controls using traditional ways presents major obstacles. Most modern techniques are improvements on ancient approaches, which raises the possibility of environmental dangers and …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 11–23 Read article
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Seismic-Resilient Structural Systems: Geotechnical Engineering
Abstract: Earthquakes represent one of the most destructive natural hazards, capable of causing severe structural damage, loss of life, and substantial economic disruption. Seismic waves propagating through the ground can induce excessive forces and deformations in buildings, often leading to partial or complete collapse. Statistical records indicate that thousands of earthquakes occur globally each year, including several major events that result in significant damage. Past earthquake disasters have repeatedly demonstrated that …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 1, 2026 · pp. 55–63 Read article