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112 articles for “Masks”
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Reconfigurable AES Based AEAD For Multi-Mode Operation with Lightweight Compatibility
Abstract: The proposal is for a lightweight, multi-mode, reconfigurable authenticated encryption system with associated data (AEADs) based on AES. It is challenging to effectively integrate different AEADs in hardware because each one has its own mode of operation and/or subfunctions, even though some major AEADs share several basic components (such as the XOR-Encryption-XOR (XEX) scheme, block chaining, and advanced encryption standard (AES). This paper proposes hardware that effectively combines the basic …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 54–68 Read article
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Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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Swift Solutions: The Science and Innovation Behind Fast-Dissolving Tablets
Abstract: Swift solutions in the context of fast dissolving tablets (FDTs) represent an innovative breakthrough in pharmaceutical science, aiming to provide rapid and effective drug delivery for patients who face difficulty swallowing conventional dosage forms. The science and innovation behind FDTs are rooted in advanced formulation techniques, material science, and drug delivery mechanisms that prioritize speed, convenience, and patient compliance. These tablets are formulated to dissolve quickly in the mouth, removing …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 26–36 Read article
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COVID-19 Resurgence in 2025: India’s Continuing Public Health Challenge
Abstract: The year 2025 has witnessed the resurgence of COVID-19, reigniting concerns at both global and national levels regarding the persistent threat posed by SARS-CoV-2. In early 2025, India witnessed a moderate resurgence of COVID‑19, characterized by the emergence of Omicron sub-variants and a rise in mild-to-moderate infections. As of mid-June, active COVID‑19 cases in India totaled approximately 6,000–7,400, with hotspots in Kerala (~2,100 cases), Delhi (~600), Maharashtra (~500), and several …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 16–23 Read article
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Unlocking Novel Drug Targets and Therapeutic Advancements Against RNA Viruses: Insights from HMPV and SARS-CoV-2
Abstract: Re-emerging RNA viruses pose a significant epidemiological welfare threat due to their high mutation rates, potential for zoonotic transmission, and capacity to cause widespread outbreaks such as Human Metapneumovirus (HMPV), Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), Influenza, etc. The rapid evolution and re-emergence of these viruses necessitate the development of novel drug targets and therapeutic strategies to combat existing and future outbreaks. This study focuses on structural as well …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 54–86 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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Geo AI-Powered Urban Footprints
Abstract: In the contemporary era, building footprints are of paramount importance for accurate and current inventories in the development of infrastructure and geospatial analysis. Traditional methods, relying on manual digitization, were largely unsustainable as the urban regions were growing rapidly. Manual digitization was expensive and lacked geometric precision. This paper introduces an automated, end-to-end GEO AI-powered framework for high-end fidelity building footprint extraction from Google Satellite Data. Our approach for this …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Thermal Steganography: A New Way to Steal Data from Air-Gapped Computers Using Heat and Fan Noise
Abstract: Nowadays, high-security computers are "air-gapped," meaning they are not connected to the internet to prevent hacking. Cybercriminals are increasingly using direct, physical methods to access and take data instead of relying on internet-based attacks. This paper introduces a new cybersecurity threat called Thermal-Secret. Most existing heat-based attacks are very slow and fail if the room temperature changes. To solve this, we developed a Slope-Based method. Instead of looking at how …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1232–1257 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Experimental Studies on the Capillary Flow Phenomena in Polyimide Based Glass Microfluidic Devices
Abstract: The polyimide based glass microfluidic devices are fabricated using the maskless lithography. Water is the only working liquid in this work. The effects of micropillar side length, microfluidic friction and surface area to volume ratio on the surface-driven capillary flow of water are studied experimentally. The surface-driven capillary flow of water is slower due to higher microfluidic friction. This work will be useful to control the water inside the microfluidic …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 3, 2017 · pp. 22–26 Read article
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Passive Capillary Flow of Aqueous Working Liquids in the SU-8 based Microchannel Bends
Abstract: In this work, total 4 individual SU-8 based microchannel bends are fabricated by maskless lithography and indirect bonding technique. The leakage-free surface-driven capillary flow of aqueous ethanol is recorded by a CMOS camera. Also, the leakage-free surface-driven capillary flow of aqueous isopropyl alcohol (IPA) is recorded by the CMOS camera. This work will be useful in bioengineering applications.
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 1, 2018 · pp. 20–22 Read article
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Effect of Surface Modifications on the Meniscus Velocities of Dyed Water in PMMA Microchannels
Abstract: In this work, author has fabricated the polymethylmethacrylate (PMMA) microfluidic devices to study the effect of surface modification techniques on surface-driven capillary flow. Maskless lithography, hot embossing lithography and direct bonding technique are used to fabricate the PMMA microfluidic devices. The effect of static water contact angle on surface- driven capillary flow is studied in the fabricated devices. The effect of the arrays of square PMMA micropillars on surface-driven capillary …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 2, 2018 · pp. 1–4 Read article
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Surface-Driven Capillary Flow of AqueousIsopropyl Alcohol in the Sudden Expansion PMMA Microchannels
Abstract: Author has fabricated the PMMA sudden expansion microchannels by the maskless lithography, hot embossing lithography, drilling, direct bonding and chip separation technique. The effect of channel aspect ratio on the surface-driven capillary flow is studied in the sudden expansion microchannels fabricated by PMMA as a polymeric material. Also, the effect of surface wettability on the surface-driven capillary flow is studied in the sudden expansion microchannels fabricated by PMMA. This study …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
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Recording of Leakage-free Surface-Driven Capillary Flow of Dyed Water in the Dual Sudden Contraction Microchannels
Abstract: Dual sudden contractionpolymethylmethacrylate (PMMA) microchannels are fabricated by the maskless lithography, hot embossing lithography, direct bonding technique, and atmospheric pressure air dielectric barrier discharge (DBD) plasma processing. The surface-driven capillary flow of dyed water is faster on the processed PMMA surface than the pristine PMMA surface. The surface-driven capillary flow of dyed water is slower in the wider portion and faster in the narrower portion of any dual sudden contraction …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 40–44 Read article
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Experimental Investigations on the Durability of PMMA Microfluidic Devices Fabricated by Hot Embossing Lithography with Plasma Processing for Bioengineering Applications
Abstract: In this research paper, total 1290 individual static contact angles of different working liquids have been measured and recorded on the flat polymethylmethacrylate (PMMA) surfaces. Total 474 individual PMMA microfluidic devices have been fabricated by the maskless lithography, hot embossing lithography and direct bonding technique inside the cleanroom laboratory and mechanical engineering workshop to determine the durability of these microfluidic devices. Total nine individual working liquids have been used to …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 3, 2016 · pp. 1–18 Read article
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Experimental Study on the Surface-Driven Capillary Flow of Aqueous Microparticle Suspensions in the Straight PMMA Microchannels
Abstract: The straight polymethylmethacrylate (PMMA) microchannels are fabricated by the maskless lithography, hot embossing lithography and direct bonding technique. Total 120 individual PMMA microfluidic devices are fabricated by author’s own hands-on completely. Total 120 individual audio video interleave files as ‘FileName.avi’ are recorded and analyzed by author. The surface-driven capillary flow of different aqueous microparticle suspensions are recorded in these straight PMMA microchannels. The effects of channel aspect ratio, effective viscosity …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 3, 2016 · pp. 26–30 Read article