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502 articles for “Ear Identification”
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A Research on the Additives and Regulatory Requirements for Pediatric Formulation
Abstract: These days, pediatric considerations are incorporated early on in the creation of new medications. The guidelines and policies of European drug regulatory bodies served as the foundation for our investigation. The review comprehensively outlines excipients commonly found in pediatric medicine formulations. It identifies potentially harmful compounds flagged by scientific literature, stressing the necessity of rigorous safety checks, often involving toxicity studies. Excipients included in pediatric databases, like the STEP database, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 28–45 Read article
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A Deep Survey on Techniques Used to Recognize Locust Based on CNN
Abstract: The major threat in agriculture is insect pests and crop disease. Outbreaks and upsurges of insects can cause huge loss to crop production. Locusts are crop devouring pests found in many parts of the world. Recognition of locusts in early stage helps to prevent the spread of locusts by taking appropriate counter-measures and biological control methods. Initially, locusts were classified and recognized manually which is time consuming and requires taxonomic …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 1–8 Read article
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Photonic Diagnostics: Harnessing Optical Sensing for Non-Invasive Assessment of Coronary Obstruction
Abstract: Cardiovascular diseases (CVDs) remain the leading cause of mortality globally, with coronary artery blockages primarily atherosclerosis representing a critical challenge. The gold standard for diagnosing coronary artery disease remains invasive coronary angiography, a procedure that, while precise, carries inherent patient risks, high costs, and logistical burdens. Optical sensors, leveraging the principles of light-tissue interaction, offer real-time, high-resolution insights into vascular health, paving the way for early detection of arterial stenoses …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 25–30 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Panoramic review on Sida rhombifolia L.
Abstract: Sida Rhombifolia is also called Bala and is a well-known Ayurvedic herbal preparation used to treat inflammation, pain and neurological disorders. Literature calls Bala as Sida cordifolia, Sida, root powder acute, Sida cordata or Sida Rhombifolia subsp. retusa to achieve clinical efficacy of standardization of ksheerBala thailam Balamulacherna is essential.The objective of the study is to authenticate the pharmacognostic standards of Sida Rhombifolia root powder. Sida Rhombifolia was standardized with …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 20–32 Read article
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Molecular Dynamics and Therapeutic Architectures of Cannabinoid Receptors: A Comprehensive Review
Abstract: Expanding on these foundations, recent structural biology studies using cryo-electron microscopy have provided high-resolution insights into the conformational dynamics of CB₁ and CB₂ receptors. These findings have enabled a more precise understanding of ligand–receptor interactions, particularly how agonists, antagonists, and reverse agonists stabilize distinct receptor states. Such knowledge is critical for rational drug design, allowing researchers to selectively modulate downstream signaling pathways. For instance, CB₁ receptors primarily couple to Gi/o …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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Cost Objective Model for Construction Equipment Replacement Policies
Abstract: Most construction companies, particularly companies whose projects are primarily constructed with earthmoving equipment, depend heavily on their construction equipment fleets, which represent substantial locked capital investment and require acceptable utilization levels to recover expenses incurred and losses from this investment. The equipment, which possesses a finite physical and economic life, inevitably requires replacement, and equipment maintenance costs increase with the equipment life. Different methodologies are employed to establish the replacement …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 2, 2014 · pp. 1–13 Read article
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Multifactorial Diseases Becoming the Epigenetic Factor for the Genz
Abstract: This comprehensive paper investigates the complex interplay between multifactorial diseases, particularly obesity and cardiovascular disease (CVD), and their relationship with epigenetic mechanisms, highlighting the transgenerational implications of these interactions. The multifaceted nature of obesity and CVD, involving genetic predisposition, environmental influences, and epigenetic modifications, underscores the intricate pathways contributing to disease susceptibility and progression. Drawing upon a synthesis of diverse research findings, the paper elucidates the critical role of genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 16–22 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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State of the art of Resource Description and Access and Library Information Science in UAE and Gulf in Global Context
Abstract: The purpose of this study is to investigates the state of the art of Resource Description and Access (RDA) and its implementation in Library and Information Science (LIS) within the United Arab Emirates (UAE) and the Gulf region in a global context. The study discusses the principles, structure, and conceptual foundations of RDA, including its relationship with FRBR, FRAD, and the IFLA Library Reference Model. It further explores the reasons …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 70–80 Read article
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An Experimental Analysis on Enhancement of Electric Vehicle Safety using ADAS Technology and Forward Collision Avoidance with an Automatic Braking System
Abstract: The rapid expansion of the automobile sector in developing nations has intensified road safety concerns, particularly in congested urban environments where human error accounts for approximately 90% of all accidents. This paper presents and experimentally validates an integrated Advanced Driver Assistance System (ADAS) for electric vehicles comprising three complementary safety modules: a Forward Collision Avoidance System (FCAS) employing an HC-SR04 ultrasonic sensor interfaced with an Arduino Uno R3 to detect …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–30 Read article
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The Crustacean Animal: Potamon magnum
Abstract: In the present study, the most recent visceral crustacean Potamon magnum was studied. It is a genus of freshwater or semi-earth crabs found mainly through the Middle East from Southern Europe, as far east as north-west Egypt. The mere exception is the North African P. algeriense, which is also continental Africa's only potamid. There are currently 20 species identified. Such crabs are omnivores with high environmental tolerance. Throughout their 10–12 …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 8, Issue 3, 2019 · pp. 9–12 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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Implementing Quality by Design (QbD): Strategies, Challenges, and Best Practices across Industries
Abstract: The present comprehensive review investigated the dynamic landscape of quality standards within the pharmaceutical sector, with a primary focus on the implementation and impact of Quality by Design principles. It illuminated the multifaceted challenges encountered by pharmaceutical companies in upholding stringent quality standards amidst evolving regulatory requirements and complex manufacturing processes. By embracing Quality by Design principles, the industry aims to foster a proactive and systematic approach to product development …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 28–36 Read article