Search
1916 articles for “V-model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Fuzzy Mathematics in Decision-Making: A Quantitative Perspective
Abstract: Fuzzy mathematics plays an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and highlights other possible alternatives alongside fuzzy methodologies. Fuzzy models offer a versatile and precise approach to assessing complex and uncertain situations using fuzzy sets, membership functions, linguistic variables, and aggregation methods. Through the lenses of time, cost, and quality, the project management case study illustrates how fuzzy logic effectively evaluates …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 6–12 Read article
-
A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
-
Property Estimation of Polymers: A Review
Abstract: AbstractPolymer production processes are facing the problems of optimization of production rate, increasing yield, waste minimization and environmental issues and product quality problems. These issues can be solved by designing efficient polymer manufacturing processes. Accurate properties of polymers are very important in designing efficient processes. Hundreds of property estimation methods are available for property estimation of polymers but the selection of the suitable property model is a challenging task. One …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 14–24 Read article
-
Modelling and finite element analysis of thermo acoustic refrigerator
Abstract: In this work, the standard modified thermo-acoustic refrigerator (TAR) is created. It has a stack, heat exchanger, thermocouple, resonator tube, and an acoustic driver (loudspeaker). The effects of a few design factors were investigated for a thermo-acoustic refrigerator system, including wave patterns, frequency, and heat exchanger. It was discovered that a sine wave pattern produced better cooling results than the other wave patterns examined. The heat exchanger's addition greatly increases …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 9, Issue 3, 2022 · pp. 31–46 Read article
-
Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
-
Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
-
Study on Network Load on Various Mobile Ad Hoc Network Protocols Under the Random Walk Mobility and Random Way Point Model
Abstract: AbstractMobile ad hoc Network consists of mobile networks which create an underlying architecture for communication without the help of traditional fixed-position routers. MANET is group of mobile nodes which uses multi hop transmission for communication. Routing in MANET is challenging task, moreover presence of malicious nodes make the overall network very insecure furthermore dynamic nature of moving nodes adds to the complexity Mobility of the nodes has substantial influence on …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 21–25 Read article
-
Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
-
Optimum Mixture Proportioning of Sawdust Ash Blended Sand-Stone Dust Blocks Using Scheffe’s Regression Theory
Abstract: This study carried out an experimental investigation on the compressive strength of sawdust ash blended sand-stone dust block of size 450 x 225 x 150 mm using Scheffe’s (5, 2) regression theory. The compressive strength of sawdust ash blended sand-stone dust blocks obtained based on fifteen trial mix ratios were used to develop the mathematical model while the results of the compressive strength values obtained based on the additional fifteen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 2, 2023 · pp. 33–40 Read article
-
Diagnosing Pneumonia from Chest X-rays Using Deep Learning Algorithms Through Convolutional Neural Network, Transfer Learning and Fine Tuning
Abstract: Pneumonia is an inflammatory condition of the lungs that induces air sacs which leads to a contagious infection of lungs. Patients who are afflicted with the virus can be saved from death and the virus can be eradicated from spreading further through effective diagnosis. X-rays of the chest are frequently used to diagnose pneumonia. Detecting pneumonia from a Chest X-ray is typically slow and inaccurate. It is essential to identify …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 8–16 Read article
-
Continuous Commissioning Techniques for Ground Source Heat Pumps: Review
Abstract: This study offers a model-based continuous commissioning methodology to find control-related performance gaps in HVAC systems with ground-source heat pumps. Traditional continuous commissioning is still helpful in finding energy performance gaps, even if MBCCx employs a system model as a reference to find operational inefficiencies and control issues arising from subsystem integration. A calibrated physics-based model that depicts the system performance as intended during the design phase forms the basis …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 22–36 Read article
-
Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
-
Modelling and Simulation DFIG based Wind power generator System
Abstract: AbstractThis system allows a variable speed operation over a large range. The converter compensates the difference between the mechanical angular frequency and grid frequency by injecting a rotor current with a variable frequency. Both during typical activity and deficiencies the conduct of the generator is in this manner administered by the power converter and its controllers. The power converter consists of two converters, the machine-side converter and grid-side converter, which …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 3, 2019 · pp. 1–7 Read article
-
Digital Sampling and Testing of COVID-19 to Reduce Lab Procedures Further Decreasing Carbon Emission: Review
Abstract: The COVID-19 pandemic has caused a new virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that primarily infects the lungs and can lead to serious respiratory illnesses such as ARDS and pneumonia caused by coronavirus. Declared a pandemic by the World Health Organization (WHO), the disease belongs to the family of coronaviruses that can cause cold and flu, making it a highly contagious disease. Chest imaging tests such …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 19–25 Read article
-
Performance of Integral Bridge by Addition of Cross Girders
Abstract: The bridges without expansion joints are Integral Abutment bridges (IAB’s). In conventional bridges, the bearings are generally corroded due to water seepage through joints which are avoided in IAB’s. However there will be stresses developed due to thermal induced movements of the bridge which is to be taken into account. In this paper, finite element analysis is carried out using STAAD ProV8i on a typical model of IAB. Here various …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 35–46 Read article
-
Tunable optomechanical induced transparency and Fano-resonance in double cavity Optomechanical system with nonreciprocal coupling
Abstract: We explore theoretically optomechanical induced transparency and asymmetric Fano-Line shape profile of a double cavity optomechanical system with nonreciprocal coupling at weak and strong coupling regime. The model system consists of one mechanical mode and two optical modes. The optical mode is coupled via nonreciprocal transition. The mechanical model is coupled to the optical model via optomechanical interaction. We have analyzed induced transparency and Fano-Line shape profile and present a …
Published in Research & Reviews : Journal of Physics · Vol. 10, Issue 2, 2021 · pp. 5–15 Read article
-
Role of Filler-Polymer Interface on the Thermal Conductivity in Polymer Composites
Abstract: Polymers with high thermal conductivity are the need of modern technologies due to their robustness, cost-effective, and less corrosiveness. However, bare polymers are not good heat-conductors due to their molecular structures, and their non-metallic properties. Therefore, metallic fillers of different shape and size have been used to enhance the thermal conductivity in polymer-composites. However, there has been search of best geometrical fillers which can maximize the thermal conductivity effectively with …
Published in Journal of Polymer & Composites · Vol. 8, Issue 1, 2020 · pp. 53–70 Read article
-
Identification of Specificity Determining Positions through Phylogenetic Studies and Molecular Modeling of ICP27 as a Drug Target of Herpes Simplex Virus-1
Abstract: An ever-growing effort to apply computational power to the combined chemical and biological space in order to streamline drug discovery, design, development and optimization can be achieved through computational approaches. Herpes simplex is an infection that is caused by a herpes simplex virus (HSV), and is one of the most common human infections transmissible to a body site. Infection with HSV can result in several diseases ranging from apparent infections …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 1, 2015 · pp. 32–43 Read article
-
Low-cost Vehicle Data Acquisition System
Abstract: The Vehicle and Driver Data Acquisition System Kit is an integrated solution designed to capture, analyze, and store essential information related to both vehicles and their drivers. This comprehensive kit incorporates cutting-edge sensors, communication modules, and data processing capabilities to provide a robust platform for real-time monitoring and post-event analysis. In the domain of electric vehicles (EVs), the need for effective data collection systems has become increasingly crucial. The current …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
-
Performance of Circular Model Footing Resting on Sand Bed Reinforced with Vertical Reinforcement in Dry Condition
Abstract: Soil stabilization is the process of improving the engineering properties of the soil. The good old method of stabilization is by using the chemicals stabilization, whereas the recent method of improving the strength of the soil is by using the vertical reinforced earth. In the present work sand is filled in the 250x250x375 mm MS tank by using sand raining technique at a relative density of 67%. MS circular plate …
Published in Journal of Geotechnical Engineering · Vol. 8, Issue 3, 2021 · pp. 1–9 Read article