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1987 articles for “ASME section IX and SA-516 M grade 380 (carbon steel)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Frequency of Failed Spinal Anesthesia and Associated Factors in Cesarean Section at Mardan Medical Complex, Mardan, KP, Pakistan
Abstract: Objective: Spinal anesthesia is the preferred choice of anesthesia for parturients having cesarean sections. Despite the high percentage of success in providing acceptable surgical anesthesia, failure of spinal anesthesia has been reported. This study aims to determine the frequency and associated factors related to failed spinal anesthesia during cesarean sections in pregnant women. Methodology: This descriptive cross-sectional study included 149 pregnant women and was conducted at Mardan Medical Complex (MMC) …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Hybrid Beamforming Strategies for mm-wave Massive MIMO System
Abstract: Hybrid analog and digital beamforming (HBF) has emerged as a compelling solution for millimetre-wave (mm-wave) communication systems, addressing the need for efficient beamforming while minimizing hardware costs and power consumption. We optimise HBF for mm-wave Massive MIMO systems in the present article. Using the Spectral efficiency and bit rate error as the performance metrics to assess transmission reliability. To reduce computational complexity, we introduce a low-complexity singular value decomposition and …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 22–28 Read article
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Understanding Food Spoilage: Mechanisms, Shelf-Life Determination, and Safety Standards
Abstract: Food spoilage poses significant challenges to the global food industry, impacting both food safety and economic sustainability. The main causes of food quality deterioration are microbial and non-microbial spoiling. Microbial spoilage primarily results from the activity of bacteria, yeasts, and molds, which thrive under favorable environmental conditions. These microorganisms can lead to food poisoning and spoilage through the production of off-flavors, discoloration, slime formation, and the accumulation of harmful toxins. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 6–9 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Experimental Investigations of EDM Parameters on Machining Square Blind Holes in Maraging Steels
Abstract: Square blind holes have certain qualities that make them useful in fields where accuracy and efficiency are crucial, like aerospace, automotive, molding, and general manufacturing industries where structural integration is required in precise assembly. It is challenging to machine square blind holes with traditional machining due to geometrical complexity as precision is required for sharp corners which is difficult to get at the corners due to tool wear. Electrical discharge …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 390–397 Read article
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Short Circuit Protection System for Electrical Vehicle (EV) Safety with GSM Module
Abstract: The safety of electric vehicles' (EVs') vital components against overheating has become a top priority for both manufacturers and users as EVs continue to grow in popularity worldwide. Important parts like batteries, power electronics, and charging systems run the risk of overheating, which can have a number of detrimental effects, including thermal runaway, which presents major safety risks like fires or explosions. Overheating can also lead to decreased efficiency, deteriorated …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 18–22 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Optimization of EDM Machining Characteristics of Reinforced Aluminium Metal Matrix Composites by Taguchi
Abstract: Aluminium alloys metal matrix composites (AMMC) play a vital role in various industries, such as aerospace and automobiles. This study investigates the machining characteristics of AL8079 - based composites reinforced with 15 wt. % TiB₂ and 5 wt. % MoS₂ using Electrical Discharge Machining (EDM). The machining process was optimized using the L9 orthogonal array (OA) Taguchi - based design of experiments, and input parameters were considered at three levels, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 939–951 Read article
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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
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Improving Black Cotton Soil with Sodium Hydroxide and Fly Ash: An Assessment of Optimum Moisture Content, Dry Density, and California Bearing Ratio
Abstract: This study investigates the stabilization of Black Cotton Soil (BCS), an expansive clayey soil primarily composed of montmorillonite minerals, using sodium hydroxide (NaOH) and fly ash. Due to its high plasticity and significant volume changes with moisture, BCS is challenging for construction purposes. Adding NaOH and fly ash can potentially improve the soil's moisture tolerance, compressibility, and reduce its plasticity, making it more suitable for structural applications. The research evaluates …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 192–201 Read article
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Development and Mechanical Characterization of Polymer based Bio Composite Filaments for FDM Applications
Abstract: Additive Manufacturing (AM) is an advanced fabrication process capable of producing complex and intricate components to meet diverse industrial and customer demands. For small-scale producers and researchers, FDM is the most straightforward, affordable, and easily accessible of the several AM processes. The majority of conventional polymer feedstocks used in FDM lack sufficient mechanical strength and thermal stability, which limits their use in load-bearing or structural components. This effort aims to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 743–751 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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IS-Aligned Strategic Evaluation of Fire Protection Systems for Improving Fire Safety in Mixed-Occupancy High-Rise Buildings
Abstract: This paper presents a substantially reworked Indian-context evaluation of fire protection systems in a 14-building high-rise sample from Indore. The study reuses the original field dataset but replaces the earlier code mix with an explicitly IS-aligned and NBC-oriented analytical framework. Physical observation, document review and interview inputs were screened against requirements related to means of egress, compartmentation, fire detection and alarm, hydrants and hose reels, extinguishers, emergency lighting, smoke control, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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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 · pp. 1–8 Read article
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Investigation of Physical Characteristics and Machining Parameters of Improved Al-SiC MMC Using Dry EDM Process for Aerospace Industries
Abstract: Aluminium-based composite is widely used in aerospace and automobile industries because it is lighter in weight; but the trouble is that it is easily worn-out and life of the components is decreased. To overcome these problems, aluminium silicon carbide composite material has been developed with good wear-resistance, hardness and lighter weight. Silicon carbide has good mechanical properties like wear resistance, hardness, toughness and high melting point. Silicon carbide weight fractions …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 15–32 Read article
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Effect of PWHT Cycle on Microstructure and Mechanical Properties of 1.25Cr-0.5Mo Weld
Abstract: Post Weld Heat Treatment (PWHT) is a process of reducing residual stresses and enhancing material properties of any material after welding. The process depends on many parameters like type of material, the thickness of material, PWHT temperature, soaking time, heating and cooling rate, etc. The Post Weld Heat Treatment process of material could effect on tensile strength, impact toughness, hardness, microstructure, etc. If the Process of PWHT is performed incorrectly …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 7–16 Read article
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Small-Scale Model Study on the Load-Deflection Characteristics of Single Piles under Static Lateral Load
Abstract: The capacity of a certain mathematical model to mimic a behavior occurring on a larger scale often concerns engineers. To evaluate a particular structure's safety factor, model uncertainty is an important consideration. Piles have been widely used to support axial and lateral loads for a wide range of structures, including high-rise buildings, transmission towers, power plants, offshore structures, highway and railway structures. Many transmission towers, high-rise buildings, highway and railway …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 47–55 Read article