Search
456 articles for “conventional methods”
-
Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
-
A Comprehensive Review of Alternative Medicine: Biological Plausibility, Testability, Repeatability, and Effectiveness
Abstract: Alternative medicine, encompassing practices, such as acupuncture, herbal remedies, homeopathy, chiropractic care, Ayurveda, and Traditional Chinese Medicine (TCM), has gained global popularity as patients seek non-conventional healthcare solutions. Despite its widespread use, scientific evaluation of its biological plausibility, testability, repeatability, and effectiveness remains a significant challenge. This review critically examines these four criteria to assess the validity and reliability of alternative therapies. Acupuncture demonstrates partial plausibility, with evidence suggesting its …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 32–46 Read article
-
Additive Manufacturing of Rocket Propulsion System: A Review
Abstract: In recent years plenty of research is going on to produce effective manufacturing techniques which can produce complex unique designs with reduced cost and lead time for aerospace applications. In this aspect, Additive manufacturing is getting a wide range of popularity in the aerospace manufacturing domain due to its vast applications and advantages. In terms of geometric flexibility and processing time, additive manufacturing outperforms conventional manufacturing processes. Additive manufacturing has …
Published in Journal of Materials & Metallurgical Engineering Read article
-
Research to Improve the Performance of Position Control System Using the SPMSM Based on the Time-varying High Order Sliding Mode Control Method
Abstract: This paper proposes the method of position control system design using permanent magnet synchronous motor (PMSM) based on the time-varying high order sliding mode control (TVHOSMC) strategy. In the conventional sliding mode control (SMC) system the chattering phenomenon appears in the vicinity of the sliding plane and while the error state of system reaches the sliding plane, the system is sensitive to the external disturbance and the parameter change. Thus, …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 29–44 Read article
-
Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
-
Fortifying the Cloud: AI-Driven Security Paradigms and Evolving Threat Defenses in Modern Cloud Computing
Abstract: Organizations worldwide are raising their concerns about security maintenance while cloud computing expands rapidly to serve as a digital transformation foundation. The study explores modern cloud security patterns while also evaluating how artificial intelligence modifies the identification and evaluation of complex cyber threats along with their prevention methods. New security threats such as insider operations and DDoS attacks and data breaches alongside insecure APIs can be detected through machine learning …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
-
Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
-
Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
-
Empirical Relation to Predict Essential Oil Yield in Conventional Distillation System
Abstract: Peppermint is medicinal herb, and its extracts (essential oils) are of great importance because they are used in pharmaceutical, food, and cosmetic items. Moreover, peppermint oil is also used as anticancer, anti-bacterial, anti-viral, spasmodic, anti-diabetic, ulcer healing, anti-obesity, etc. Steam distillation method is used to extract essential oil from peppermint. Boiler, extraction unit, condenser and Florentine flask are the main components of steam distillation system. The objective of present study …
Published in Journal of Polymer & Composites Read article
-
Artificial Intelligence in Smart Dairy Farming (SDF)
Abstract: Due to increasing demand for quality of milk in dairy farming also for the sustainability, productivity and maintenance of good health of animals. various challenges are faced by dairy farmers and can be addressed using Artificial Intelligence technologies ,By using AI here the individual health ,behavior ,feed management robotic milking and stress free milking system will be implemented .AI technologic implementation will frame the Smart dairy farming in properly and …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 16–20 Read article
-
Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
-
Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
-
Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
-
Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
-
Application of Thermal Spray Coatings for Corrosion Control in Oil and Gas Refineries
Abstract: In today’s context, Thermal Spray Coating (TSC) has emerged as a highly durable and reliable alternative to traditional Hot-Dip Galvanizing (HDG). It is increasingly being adopted for both new and existing industrial structures due to its long-lasting protection—often exceeding 25 years—while requiring little to no maintenance. Unlike HDG, which cannot be welded on-site and often poses challenges with repair methods such as liquid coating or cold spray, TSC offers greater …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 106–115 Read article
-
Elucidation of Physical Structural Stability of Nickel Nanoparticles Additive-Based Magnetorheological Grease
Abstract: This study investigates the influence of nickel nanoparticles on the physical properties and structural stability of magnetorheological grease (NMRG) as a smart composite. The incorporation of nickel nanoparticles aims to mitigate issues commonly observed in conventional magnetorheological grease (MRG), including particle aggregation within the fibrous matrix, limited material performance, and deformation instability. NMRG samples containing 1–5 wt% nickel nanoparticles were prepared using a mechanical stirring method. The tests focused on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 191–215 Read article
-
Comparison of Recovery Profile for Total Intravenous Anaesthesia (TIVA) Using Propofol And Remifentanil in Laparoscopic Surgeries
Abstract: Total Intravenous Anaesthesia (TIVA) has become an increasingly preferred technique in modern anaesthetic practice due to advantages such as reduced postoperative nausea and vomiting (PONV), improved hemodynamic stability, minimal environmental impact, and faster recovery compared to conventional inhalational anesthesia. Propofol in combination with remifentanil is widely used for TIVA because of its rapid onset and offset of action, which supports quick postoperative awakening and enhanced patient satisfaction. Target Controlled Infusion …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 39–50 Read article
-
Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
-
Beyond Binary: A Holistic Exploration of Fuzzy Logic Systems in Control Theory-An Extensive Review and Future Directions
Abstract: Now a days non renewable energy or conventional energy sources are reduced due to the increased usage of energy for several purposes, for that renewable energy source are introduced for the same. This help islanded areas electrification, several methods are used for the storage and distribution of energy. one of the technique is fuzzy logic control, in this paper discuss about the usage of energy and fuzzy logic system usage …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
-
Clinical Evaluation of Ayurvedic Intervention (Mahamanjishathadi Kwatha, Kaishora Guggulu, Panchatikta Ghrita, Eranda Taila) in the Management of Ekakushtha W.S.R. to Psoriasis
Abstract: Introduction: Psoriasis is a chronic skin condition causing scaly plaques, typically on extensor surfaces, scalp, and nails, and often leads to quality of life impairments, including physical and mental health challenges. Ayurveda offers a holistic approach targeting root causes and balancing body and mind, while conventional treatments focus on symptom management through therapies that may cause side effects and recurrence. Aim and Objectives: The study aimed to assess the efficacy …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 Read article