Search
69 articles for “performance quantification”
-
AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
-
Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
-
Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
-
Assessment of Fire Resistance of Offshore Structures under Special Environmental Loads: Emphasizing Structural Integrity and Safety Measures for Extreme Conditions
Abstract: Offshore structures are exposed to a myriad of environmental challenges, including high temperatures and fire hazards, necessitating robust fire resistance measures to ensure structural integrity and the safety of personnel and facilities. This study aims to evaluate the fire resistance of offshore structures under special environmental loads, with a focus on the structural integrity and safety measures in place to withstand extreme conditions. The research methodology includes a comprehensive review …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
-
Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 Read article
-
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
-
Development and Validation of a Robust RP-HPLC Method for Rufinamide Quantification in Pharmaceutical Dosage Forms
Abstract: The creation and validation of a simple, precise, and targeted reverse phase high-performance liquid chromatographic (RP-HPLC) approach allowed for the quantification of rufinamide in pharmaceutical dosage forms. With a mobile phase of methanol and water (50:50, v/v), the technique used a gradient mode Symmetry Qualisil gold C18 column (4.6 x 150mm, 5 μm). For the detection method, a flow rate of 1 mL/min was employed at 220 nm. During a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 25–32 Read article
-
Development and Fabrication of Biohydrogel for Targeted Delivery of Delafloxacin for Bacterial Skin Infections
Abstract: The escalating challenge of bacterial resistance necessitates innovative drug delivery systems to enhance the efficacy of antibiotics. This study focuses on the development and optimization of a biohydrogel formulation for the targeted delivery of Delafloxacin, aiming to improve its therapeutic outcomes against resistant bacterial strains. Utilizing a 3² factorial design, biohydrogel formulations incorporating Poly(N-isopropylacrylamide) (PNIPAM) and Genipin were synthesized. The optimization process was guided by Design Expert software, focusing on …
Published in Research & Reviews: A Journal of Drug Design & Discovery Read article
-
Performance analysis of cross-slotted patch antenna for wireless system applications
Abstract: A C-band cross-slotted microstrip patch antenna for ice and frost detection in wireless sensing applications. The antenna configurations with distinct cross-slot geometries are designed to investigate their influence on impedance matching, radiation characteristics, and sensing sensitivity. The antennas are modeled and analyzed using Ansys HFSS, and their dimensions are optimized using standard microstrip antenna design equations. Ice and frost accumulation on the antenna surface is identified through measurable shifts in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 35–50 Read article
-
Investigations of Mechanical Testing and its Effects on Lithium Ion Battery and Battery Pack for Electric Vehicle Application
Abstract: This research delves into the comprehensive study of mechanical testing methodologies and their consequential impact on the structural integrity, safety, and performance of Lithium-Ion batteries (Li-ion) and battery packs designed for electric vehicle (EV) applications. The investigation aims to enhance the understanding of mechanical stressors' influence on the reliability and safety of energy storage systems crucial for the sustainable advancement of electric mobility. The paper opens with mechanical testing protocols …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 35–49 Read article
-
Non-Contact Quantification of Swelling-Induced Deformation in Polymer Hydrogels Using Image Analysis
Abstract: Swelling of polymer hydrogels governs transport, mechanics, and functional performance in biomedical systems, yet it is often reported using bulk ratios that conceal spatially heterogeneous deformation and boundary-driven instabilities. This study presents a non-contact image-analysis framework to quantify swelling-induced deformation by tracking shape and boundary evolution from time-lapse imaging. The approach segments the hydrogel region, extracts a sub-pixel refined contour, and computes boundary displacement descriptors including mean and upper-percentile normal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1499–1509 Read article
-
Animal Gastrointestinal Tract in Animals Health
Abstract: The gastrointestinal tract's (GIT) functionality and health are essential elements that influence animal productivity. Since the management of GIT growth and health involves numerous complicated systems, it is critical to have a better understanding of these interconnections in order to create strategies for modulating GIT functioning and health in the perspective of better animal performance. Within in the animal scientific community, this term of "gut health" has sparked considerable interest. …
Published in International Journal of Animal Biotechnology and Applications Read article
-
Recent Developments in Polymer Concrete: Considerations for Materials, Performance, and Sustainability
Abstract: In modern infrastructure Growing need of durability and environmental has driven interest in polymer concrete (PC) as an alternative to conventional cement-based materials. This review critically evaluates recent developments in polymer concrete with emphasis on material innovations, performance characteristics, and sustainability aspects. Demonstration of Advanced polymer binders (e.g. epoxy, polyester and vinyl ester resins) shown significant improvements in mechanical strength, adhesion and chemical resistance. Investigation indicates that use of nanomaterials …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 910–920 Read article
-
Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
-
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
-
China’s Economic Performance (2020–2024): A Sectoral Index Analysis
Abstract: This study applies Laspeyres, Paasche, and Fisher ideal indices to China’s official 2020–2024 price and quantity data, quantifying sectoral inflation and real growth in agriculture, manufacturing, services, exports, and investment. Results show manufacturing experienced mild deflation (Laspeyres ≈ 98.7, implying ≈ 1.3% overall price decline) with a slight real output drop (~6.1%). A key driver was a sharp 21.4% fall in electric vehicle unit prices, despite +523% volume growth. Services …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 14, Issue 3, 2025 Read article
-
China’s Economic Performance (2020–2024): A Sectoral Index Analysis
Abstract: This study applies Laspeyres, Paasche, and Fisher ideal indices to China’s official 2020–2024 price and quantity data, quantifying sectoral inflation and real growth in agriculture, manufacturing, services, exports, and investment. Results show manufacturing experienced mild deflation (Laspeyres ≈ 98.7, implying ≈ 1.3% overall price decline) with a slight real output drop (~6.1%). A key driver was a sharp 21.4% fall in electric vehicle unit prices, despite +523% volume growth. Services …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 26–38 Read article
-
Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
-
Influence of Aspect Ratio, Geometric Configration and Continuty on Shear Wall Performance
Abstract: This study investigates the dynamic behavior of shear walls in high-rise buildings, focusing on the impact of varying parameters like aspect ratio, geometry, and continuous-discontinuous structures. By accurately identifying and quantifying various loads and conducting comprehensive structural analysis. The high-rise complex features reinforced concrete shear walls designed to resist lateral forces, ensuring safety and stability.This topic is chosen because the dynamic behavior of shear walls in high-rise buildings is critical …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–40 Read article
-
Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article