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509 articles for “traditional techniques”
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Review of Machine Technique for Prediction of Depression Using EEG Signal
Abstract: Depression is a prevalent mental health disorder that affects millions worldwide, often leading to significant personal and societal burdens. Traditional diagnostic methods for depression rely heavily on subjective assessments, which can be prone to bias and inconsistency. In recent years, there has been a growing interest in utilizing machine learning techniques to predict depression based onelectroencephalogram (EEG) signals, offering a promising avenue for more objective and reliable diagnosis. This review …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 23–29 Read article
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REPEATED MOPs VS DUAL APPROACH IN ACCELERATED ORTHODONTICS
Abstract: In contemporary orthodontics, there is a pressing need to minimize treatment duration, which is often a concern for both orthodontic specialists and patients. Prolonged treatment periods not only pose logistical challenges but also increase the risks of various dental issues such as cavities, periodontal problems, chronic discomfort, and root resorption. Accelerated orthodontics has emerged as a promising solution to address these challenges. Numerous efforts have been undertaken to expedite orthodontic …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 1, 2024 · pp. 16–21 Read article
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Solubility Enhancement Technique for Verapamil by Solid Dispersion Method
Abstract: By creating a solid dispersion, this study aimed to address the limitations of the traditional solid dosage form of verapamil, including its low bioavailability and restricted clinical efficacy. In order to alter the drug's release and improve its solubility, verapamil solid dispersion was created using the Solvent Evaporation Method and Fusion Method. The physical state of the solid dispersed verapamil was determined using saturation solubility testing and dissolution studies. Verapamil …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 94–99 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Comparative Study of Dosimetry Methodology and Software Tools for Personalized Radionuclide Therapy
Abstract: Purpose: The aim of this review article is to collate the detailed insight of different dosimetry methodology and non-commercial /commercial dosimetry software tools, along with clinical study explored by specific authors, published in recent peer-review journals. The present work is segmented in three sections: i) Literature review of various dosimetry methodologies to evaluate absorbed dose in personalized radionuclide/ radiopharmaceutical therapy. ii) Technical as well as comparative information related to commercial …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 3, 2021 · pp. 9–27 Read article
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Statistical Models for Predicting Genetic Variability and Disease Susceptibility
Abstract: Differences in genetics are key to understanding why some individuals are more prone to certain diseases than others. Recent advancements in genomic research, combined with statistical modeling techniques, have made significant strides in predicting disease risk based on genetic factors. This review explores the application of statistical models for predicting genetic variability and their role in disease susceptibility. We discuss traditional methods like linear regression and genome-wide association studies (GWAS), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 30–34 Read article
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Optimization Of Solar Drying Parameters for Turmeric and Papaya Leaves: Effects on Nutritional and Bioactive Compound Retention
Abstract: This study focuses on the optimization of solar drying parameters for turmeric and papaya leaves, based on their impact on retention of nutritional and bioactive compounds. One of the most crucial postharvest procedures is solar drying as it decreases the moisture content in plant materials, thereby increasing shelf life and preserving quality. This study considers traditional methods as open sun drying (OSD) and advanced solar dry techniques, including Hybrid Indirect …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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POLYMER AND COMPOSITE-BASED GEOSYNTHETIC REINFORCEMENTS FOR SEISMIC STABILITY OF SOIL RETAINING STRUCTURES: MATERIALS, MECHANICS, AND PERFORMANCE REVIEW
Abstract: Geosynthetic materials based on polymer and composites have become important items for the structural performance and seismic resilience of the reinforced soil retaining systems. Mechanically stabilized earth walls in recent geotechnical engineering practice are increasingly based on enhanced polymeric reinforcements for enhanced tensile strength, durability, flexibility, and energy dissipation under dynamic loading. High-density polyethylene, polypropylene, polyester, and fiber-reinforced polymer composites are usually used. The present review focus on the recent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Antibody Pharming in Transgenic Plants: An Overview
Abstract: Antibodies (Abs) are secreted large-sized glycoprotein products of terminally differentiated B cells in vertebrate species and since their discovery during 1890s, they have been widely used for diagnosis, prevention and treatment of diseases, epidemiology and life-science research. They have been traditionally produced in large amounts by repeated immunization of animals. Various techniques for production of full-length and fragments of antibody that have been introduced later are: (i). hybridoma technology during …
Published in Research and Reviews : A Journal of Immunology · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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Implementation of Image Processing Technique to Assess the Surface Free Energy of Asphalt Binder
Abstract: The adhesive properties of asphalt binder are considered as a major issue in the durability of the pavement. When asphalt cement does not match the standard specification required for paving work, one of the existing remedy processes is to implement modifiers to enhance the quality. Image processing technique can detect the variation in the adhesive properties through the assessment of surface free energy of the binder. In the present assessment, …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 1, 2022 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
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Wired for Mobility: Investigating Routing Protocols and AI Integration in MANETs
Abstract: Nodes in Mobile Ad Hoc Networks (MANETs), which operate without a fixed infrastructure, communicate wirelessly in a dynamic and demanding environment. In these kinds of situations, routing becomes essential to guaranteeing effective data transfer. The dynamic topology and shifting network conditions of MANETs present challenges for traditional routing protocols. The blending of routing protocols with Artificial Intelligence (AI) techniques has become a viable way to improve MANET performance in recent …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 31–36 Read article
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Agro- waste to Bioenergy Production in India
Abstract: The transition towards sustainable energy sources is imperative for mitigating environmental degradation and addressing energy security concerns. In the context of India, where biomass constitutes a significant portion of renewable energy potential, understanding its availability and utilization is paramount. The Biomass Resource Atlas of India serves as a comprehensive tool for assessing biomass resources, offering insights into regional and seasonal availability. However, despite substantial biomass generation, its utilization for power …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 27–40 Read article
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article
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A Study on Recent Trends in IC-Mems Integration
Abstract: MEMS devices are incorporated with IC technologies because of its miniature size, efficient functionality and broad range of applications. The technology involved is capable of integrating both electrical and mechanical systems. MEMS are nowadays used extensively in real time applications which outperforms other traditional designs with its innumerous advantages. This paper reviews the various implementation techniques of MEMS sensors integrated with IC’s. Electronic Vehicle Identification (EVI) is done with the …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 1, 2021 Read article
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A Comprehensive Review: Personalized Treatment Strategies in Stable Ischemic Heart Disease
Abstract: Stable Ischemic Heart Disease (SIHD) is one of the leading cardiovascular disorders associated with high morbidity and mortality worldwide. Since early symptoms such as chest pain, fatigue, and shortness of breath are often non-specific and difficult to recognize, diagnosis becomes challenging, and many cases remain undetected until advanced stages or complications occur. Traditional diagnosis depends heavily on clinical evaluation, electrocardiography, stress testing, and imaging techniques. The development of improved treatment …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 Read article