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89 articles for “Bio-detection applications”
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security
Abstract: An AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security system is an advanced security solution that utilizes sensors, microcontrollers, and authentication mechanisms to control access efficiently. This system is designed to enhance security and convenience by eliminating the need for traditional keys, reducing the risks associated with lost or duplicated keys. It operates using various authentication technologies such as RFID (Radio Frequency Identification), fingerprint recognition, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 34–38 Read article
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Comparative Assessment of Methylparaben concentration in Cosmetic product, analyzed using Enzyme Biosensor and ultra-high-pressure liquid chromatography (UPLC): An approach towards detection of the environmental toxicant with higher accuracy and sensitivity.
Abstract: Methylparaben (MP) is one of the most widely used preservatives and is associated with a catalog of recently identified health hazards. Existing studies have also highlighted these compounds as environmental contaminants and toxicants that affect water quality and the associated microbial diversity of the habitat. The conventional methods for parabens detection is performed using chromatographic techniques, which assist in quantitative analysis of the group of compounds. However, the biggest challenge …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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A Comprehensive Review of Analytical Method – Development and Method Validation of Digoxin Tablets
Abstract: The main objective of this review is to give an outline of the method development and validation process of digoxin, and this review covers the different types of spectroscopic and chromatographic techniques, such as HPLC, UHPLC-Tandem mass spectroscopy, TLC, and LC-MS. A novel method for the determination of digoxin in biological samples has been developed and validated, focusing on improving sensitivity, specificity, and reproducibility. The method was validated in terms …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 47–58 Read article
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Enhancements in Titanium Matrix Composites: A Multifaceted Exploration of Various Structural Ceramics Reinforcement
Abstract: This research study delves into the comprehensive exploration of Titanium Matrix Composites (TMCs) reinforced with Silicon Carbide (SiC), Alumina (Al2O3), and Boron Nitride (BN). The investigation is structured into three key phases, each addressing essential aspects of TMCs: Phase 1 involves materials and manufacturing, where TMC coupons were fabricated through the stir casting technique with varying compositions of aluminum and silicon carbide. Phase 2 focuses on characterization and defect detection, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 83–94 Read article
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Advances in Nanotechnology-based Biosensors: Enhancing Sensitivity and Specificity in Biomedical Diagnostics
Abstract: This study provides an in-depth exploration of the rapidly evolving field of nanotechnology-based biosensors, emphasizing their significant impact on biomedical diagnostics. The integration of cutting-edge nanomaterials, including nanoparticles, nanowires, and quantum dots, has catapulted biosensing technology to new heights, yielding unprecedented gains in sensitivity and specificity, and revolutionizing the detection of biomolecules. The study highlights various types of nanobiosensors, including optical, electrochemical, and magnetic, each offering unique advantages for detecting …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 26–32 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Unraveling Metagenomics: A Comprehensive Diagnostic Approach for COVID-19
Abstract: The COVID-19 pandemic has brought attention to the need for rapid, accurate, and scalable diagnostic techniques. Metagenomics, a powerful technique that enables the comprehensive analysis of genetic material from complex microbial communities, has emerged as a promising diagnostic approach for COVID-19. This article elucidates the principles of metagenomic sequencing, highlighting its ability to detect viral RNA directly from clinical samples without prior knowledge of the pathogen. Furthermore, we discuss the …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 2, 2024 · pp. 19–28 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Intelligent Polymer-Integrated Wearable Platforms for Sustainable IoT and Predictive Health Monitoring for Migraine Detection
Abstract: Migraine is a neurological disorder, and its effect on the global workforce is resultantly significant. However, the fact of the matter is the absence of notable technological breakthroughs and the fact that the technology presently available is reactive, meaning it tackles the symptoms of the attack after the attack has occurred. The requirement for this paper is, therefore, the provision of an innovative approach, and this paper will describe the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 946–960 Read article
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Innovative Approaches to Luminescence: Exciton-Polariton Lasers and Quantum Confinement in 2D Materials
Abstract: The phenomenon known as luminescence occurs when an external energy of any kind excites a substance's electronic state, and the excited energy is released as light. Luminescence is the absence of heat produced by light emission. Luminescence comes in a variety of forms, including thermoluminescence, bioluminescence, and chemiluminescence. Examples of luminescence include flat-screen TVs, LED lights, and bioluminescent phytoplankton. The measurement of the emission spectrum produced when previously excited atoms …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 26–33 Read article
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A Study of Optical Sensor in Clinical applications
Abstract: The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies. Among these, optical sensors have emerged as a cornerstone, leveraging the interaction of light with biological matter to translate molecular or cellular events into quantifiable signals. Their inherent advantages – including high sensitivity, specificity, rapid response times, non-ionizing nature, and potential for miniaturization – make them …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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Exploring Robotic Arm Fabrication: An In-depth Review of Current Trends
Abstract: Robotic arms have emerged as indispensable tools across a myriad of industries, revolutionizing manufacturing processes, medical procedures, and even everyday tasks. This comprehensive review explores the recent advancements in robotic arm technology, focusing on key developments in design, control, sensing, and applications. The review begins by examining the evolution of robotic arm design, highlighting innovations in materials, actuators, and kinematic configurations that have enhanced the performance, versatility, and dexterity of …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 28–41 Read article
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Behavior of Surface Polaritons on Cylindrical Semiconducting Materials at Nanoscale with Radius Dependence Frequency
Abstract: Surface plasmon resonance (SPR) is a physical property of the surface to investigate the important properties of optical behaviors for nanomaterial and biomaterial. It involves the excitation of electrons within a thin metal sheet by incident light at a specific angle, prompting them to propagate parallel to the surface. This sensitivity to external factors, such as changes in the refractive index of the surrounding medium due to molecular adsorption, underscores …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article
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Drones in Precision Livestock Farming: Advancing Health, Welfare, and Resilience in Dairy Production Systems
Abstract: The integration of drone technology in precision livestock farming represents a transformative advancement in modern dairy production systems. Drones offer innovative solutions for monitoring, managing, and optimizing livestock health, welfare, and productivity while addressing challenges related to environmental sustainability and resource efficiency. This study explores the diverse applications of drones in dairy farming, including health monitoring, disease detection, reproductive assessment, and real-time herd tracking. By leveraging thermal imaging and advanced …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 16–25 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics Read article