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451 articles for “Characterization techniques”
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Composite Gel-Fibers and Solid-State-Processed Tapes Based on Disentangled Ultra-High Molecular Weight Polyethylene and Electrically Conductive Carbon Black: a Comparative Study
Abstract: In this study, oriented nanocomposite gel-spun fibers and solid-state-processed tapes were manufactured and analyzed. The fibers and tapes were produced using a specific type of nascent disentangled ultra-high molecular weight polyethylene (UHMWPE) reactor powder. As the filler, commercially available electrically conductive carbon black (CB) was used. The ultra-high filler content values up to 75 wt.% were achieved for the UHMWPE/CB gel-spun fibers, while the degree of filling was limited (up …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 151–165 Read article
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A Review on Characterization of Mechanical Behavior of AA5083 Through Equal Channel Angular Pressing at Different Channel Angles
Abstract: Materials that have been enhanced through traditional techniques like strain hardening, the addition of solutes, altering grain size through precipitation and refining are commonly utilized in industrial applications. However, there is a restriction on the extent of deformation that these traditional techniques can impose on a material. This research centered on examining the primary mechanical characteristics of aluminum alloys when polycrystalline materials incorporate an extremely fine grain size. By producing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 54–68 Read article
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Construction of Chalcone–Thiadiazole Derivatives with (Spectral and Anticancer)-Study
Abstract: Most organic chemistry compounds are widely used in the manufacture of medicines and antibiotics. Due to the spread of many epidemics that develop later as a result of not using appropriate antibiotics, these infections may develop in some tissues into carcinogenic tissues. Therefore, many researchers have developed a series of pharmaceutical compounds and developed the method of their connection with cyclic compounds. A series of chalcone derivatives has been presented …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 64–80 Read article
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Comparative Analysis of Different Mechanical Properties of Banana Pseudostem Fiber and Pineapple Leaf Fiber Reinforced Polymer Composite
Abstract: In this research, a hybrid natural fiber polymer composite is prepared using different combinations of banana pseudostem fiber and pineapple leaf fiber in a discontinuous reinforcement phase and epoxy polymer in a continuous matrix phase. For the preparation of the composite, the hand layup technique is used and important mechanical characteristics, namely tensile, flexural, and impact strength, are determined. The findings of this investigation represent that the highest values of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1248–1256 Read article
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Dielectric Properties of Reduced Graphene Oxide with Nickel Cobalt Ferrite and Nickel Zinc Ferrite Epoxy Nanocomposites
Abstract: In this work, two systems of the composite were prepared using NiCoFe and NiZnFe with reduced graphene oxide(rGO) epoxy and the samples were subjected to electrochemical impedance spectroscopy (EIS). The Quality factor and loss tangent values of the composite was found out as a function of frequency. The modified ferrite-graphene-epoxy blends show dielectric loss and Quality factor values at low frequency. The incorporation of graphene aims to improve electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 11, 2023 · pp. 28–37 Read article
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Strength Enhancement of Concrete with Nano-Based Admixtures
Abstract: The integration of advanced nanomaterials such as nano-silica and nano-clay has emerged as a highly promising and innovative technique to significantly enhance the mechanical characteristics and long-term durability of conventional concrete. In this comprehensive study, the effects of nano-modification on various concrete properties, including workability, compressive strength, split tensile strength, and flexural behavior, were thoroughly evaluated through a systematic experimental program. A series of concrete mix designs incorporating varying proportions …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Evaluation of Mechanical Properties of Arecanut Fiber Reinforced Epoxy Composite
Abstract: This study investigates the mechanical performance of arecanut fiber-reinforced epoxy composites, aiming to evaluate their potential for sustainable industrial applications. Arecanut husk fibers, an agricultural waste product, were selected for their natural abundance and biodegradability. To enhance fiber-matrix bonding, the fibers were chemically treated with sodium hydroxide (NaOH), which effectively removes lignin, hemicellulose, and other impurities, improving surface roughness and interfacial adhesion. The treated fibers were then incorporated into an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 389–400 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Drilling Parameters Optimization in LM6/B4C/Fly ash Hybrid Composites by Taguchi Technique
Abstract: Aluminium matrix composites (AMCs) are challenging to machine due to its abrasive characteristics. Because of the broad adoption of MMCs, it is vital to create sufficient equipment to facilitate efficient manufacturing. The current study utilizes signal-to-noise ratio (S/N) analysis to determine the ideal machining parameters for drilling AMC’s. The goal with this study is to investigate the effect of feed rate (FR), drill type (D), speed (SS), reinforcing material R …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 890–897 Read article
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Crosslinked Starch Polymer for Coating on Fruit/Vegetable for Preservation Derived from Waste De-Oiled Soybean Cake
Abstract: Cross-linked starch films have been prepared by reacting starch extracted from de-oiled soybean cake (waste material from oil industry) with bio-based acids citric acid and tartaric acid. The obtained films were characterized by spectroscopic, thermal and surface morphological techniques. Thermal analysis showed that thin film has good thermal stability. The micrographs obtained from scanning electron microscopy showed the film surface has smooth and uniform morphology. Biological properties like cytocompatibility, antimicrobial …
Published in Journal of Catalyst & Catalysis Read article
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Rooftop Layout Optimization for PV Installation using GIS
Abstract: In this work, we develop a new modelling process to optimize the PV installation layout on industrial building rooftops; the model searches for maximizing the number of installed PV panels in a defined spot area, characterized by its shape, size, tilt and orientation. The study focuses on areas of latitude between tropics, but is useful for other latitudes. The method is applied to an industrial conglomerate of reference, made up …
Published in Journal of Remote Sensing & GIS Read article
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The drying characteristics of bitter and sour sop leaves are affected by temperature
Abstract: One of the earliest techniques for food preservation is the drying method. Drying is important because it reduce the moisture content of the food hence reducing the breeding ground for microorganism that causes food spoilage. Due to this marked effect, the study was aimed at investigating the effect of temperature on the drying characteristic of bitter leave (Vernonia Amygdalina) and Soursop (Annona Muricata). The methodologies employed in this researches are …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 12, Issue 3, 2024 · pp. 01–014 Read article
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Biopolymer-Based Nanoparticles: Advances in Fabrication, Characterization, and Biomedical Applications
Abstract: The emergence of biopolymer-based nanoparticles, particularly those composed of proteins and polysaccharides, has significantly transformed the landscape of biocompatible and biodegradable materials. These nanoparticles offer immense potential due to their ability to facilitate encapsulation and targeted delivery of bioactive compounds, enhancing therapeutic efficacy while minimizing side effects. This review explores the various fabrication techniques, including emulsification, desolvation, coacervation, and electrospray drying, emphasizing their advantages and limitations. The characterization of nanoparticles …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 38–46 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Effectiveness of Spencer Technique of Mobilization on Adhesive Capsulitis: A Single Case Study
Abstract: Background: Frozen shoulder, or adhesive capsulitis, is a condition characterized by pain, restricted motion, and stiffness in the shoulder joint. This occurs due to inflammation and the thickening of the joint capsule. The Spencer technique, is a manual therapy method consisting of seven steps designed to improve shoulder function by enhancing joint mobility, circulation, and lymphatic flow. These movements target shoulder extension, flexion, circumduction, abduction, and adduction, to reduce stiffness …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–20 Read article
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Exploring The Multitarget Pharmacological Mechanism of Diabex for T2dm by Combining Network Pharmacology and Molecular Docking Techniques
Abstract: Objective: Hyperglycemia brought on by an absolute or relative absence of insulin synthesis or action characterises a set of illnesses known as diabetes mellitus. Chronic hyperglycemia in diabetes mellitus has been linked to organ damage, heart, and blood vessels. The persistent metabolic condition Diabetes is a severe global issue with negative social, health, and economic effects. It is a type of metabolism disorder that interferes with food digestion in the …
Published in International Journal of Bioinformatics and Computational Biology Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes
Abstract: Diabetes mellitus is a global health concern characterized by chronic hyperglycemia and associated complications. The creation of innovative medicines with enhanced efficacy and safety profiles continues to be a top focus, notwithstanding improvements in treatment. A useful method in drug development, computer-aided drug design (CADD) makes it easier to identify possible therapeutic candidates and optimise lead molecules. An extensive synopsis of CADD tactics used in the fight against diabetes is …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article