Search
1035 articles for “Computational techniques”
-
Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing Read article
-
Detection of Brain Tumors from MRI Images based On Development of Thinking Computer systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 28–34 Read article
-
Software Testing Techniques in Cloud Computing: A Survey
Abstract: AbstractCloud computing is the following phase of the internet advancement. Cloud depends on sharing of assets to accomplish rationality over web. Cloud emerged as new registering standard that affects a few distinctive research field, including programming testing condition. There are different programming methods utilized for testing application condition. Cloud not just changes the method for getting figuring assets, it also additionally changes the method for overseeing and conveying processing administrations, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
-
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
-
Supporting Search as You Type using Incremental Computation and Neighborhood Technique
Abstract: AbstractThe objective of the project is to develop the application Search-as -you-type system, used to show the results based on user query. If user enter any misspelled queries in search engine, automatically it corrects the misspelled query in search box. In the proposed system, concentrate on high performance to attain a speed of searching and showing the results very quickly and corrects the incorrect word. The performance of search is …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 26–29 Read article
-
Highly Efficient Mobile Computing Using Global Positioning System Techniques
Abstract: Mobile Computing communications has become a heatedly debated issue to the computing trade for the forth coming back years; thanks to the progress within the wireless communications space. GPS could be a network of satellites that endlessly transmits coded information that makes it attainable to exactly determine locations on earth by menstruation distance from the satellites This paper tries to style a system which mixes these two technologies; it's attainable …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 14–19 Read article
-
Soft Computing Based Prediction of Deviator Stress of Waste Plastic Reinforced Sand
Abstract: In the recent past, the soft computing techniques have received a significant attention for solution of the geotechnical stability problems. Following the trend, the present study tries to explore the use of different soft computing techniques such as random forest regression, support vector machines (SVM) RBF kernel, SVM poly kernel and M5P model tree for the prediction of deviator stress of sand reinforced with waste plastic strips. The deviator stress …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
-
Entangled Shields: Securing Digital Systems in the Quantum Cryptographic Revolution
Abstract: Quantum computing utilizing principles of superposition and entanglement is poised to revolutionize the computational landscape, presenting unprecedented challenges and opportunities across various disciplines. Among these, cryptography stands at the forefront due to its reliance on computational hardness assumptions, which Quantum algorithms, such as Grover’s and Shor’s, can efficiently exploit. This study explores theoretical foundations and practical applications of quantum-safe cryptographic primitives, such as lattice-based cryptography, hash-based signature schemes, code-based systems, …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
-
Energy-Efficient Parallel Computing for Edge Devices: Techniques, Challenges, and Emerging Research Directions
Abstract: Edge computing brings computation closer to data sources, which supports low-latency applications but places substantial demands on energy-constrained and heterogeneous devices. Parallel execution across multicore CPUs, GPUs, FPGAs, and other accelerators can improve responsiveness, but it also complicates scheduling, power management, and resource allocation. This review examines six closely related technique families: energy-aware task scheduling, dynamic voltage and frequency scaling (DVFS), task offloading and resource allocation, artificial-intelligence-based optimization, hardware acceleration, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 35–41 Read article
-
Evaluation of Image Reconstruction Techniques in Single Photon Emission Computed Tomography (SPECT/CT) Imaging
Abstract: AbstractThis work is aimed at evaluating the image reconstruction techniques used in single photon emission computed tomography (SPECT/CT) imaging. The reconstruction techniques considered in this work are: the ordered subset expectation maximization (OSEM) and the Filtered Back Projection (FBP). An anthropomorphic torso phantom with lung and liver inserts was injected with 99mTc. The liver and the background were given 0.2 MBq/ml and 0.07 MBq/ml respectively. The lungs inserts were filled …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 2, 2016 · pp. 13–22 Read article
-
Compound Transmission Security for Mobile Cloud Computing Using Spread Spectrum Technique
Abstract: By accessing data stored in remote data centres, "mobile cloud computing" provides users with IT services tailored to their specific needs. It also provides the infrastructure to support hosting for pervasive applications in the corporate, scientific, and consumer spheres. The cloud or data centre server cannot automatically lease the appropriate amount of services based on the needs of the users. So, Mobile Cloud Computing (MCC) consists of three sub-modules viz. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 3, 2023 · pp. 8–28 Read article
-
An Overview of Privacy-Preserving Data Encryption Techniques in Mobile Cloud Computing for Big Data
Abstract: With the introduction of mobile cloud computing (MCC), data processing, storage, and sharing have undergone a radical transformation that has greatly improved organizational effectiveness and quality of life. But there are also serious worries about data security and privacy due to the increasing usage of mobile devices and cloud computing, particularly when managing large amounts of data from many sources like sensors and cellphones. The privacy issues surrounding MCC are …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
-
Strategic Solutions: How Mathematics Reshapes Industrial Landscapes
Abstract: One of the earliest and most fundamental fields of the physical sciences is mathematics. It has a significant impact on industrial enterprises' bottom lines and enhances their performance in the current data-driven market. One subfield of applied mathematics is industrial mathematics. It concentrates on issues that arise in the industry and seeks answers that are pertinent to the sector. The use of mathematical models and techniques to diverse industry difficulties …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
-
Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
-
Mode Choice Analysis: Fundamental and Models
Abstract: AbstractTravel behavior plays an important role in transportation planning. Mode choice has direct impact on the policy making decision. It is behavioral and complex in nature. The objective of this study is to carryout detailed review on various modeling methods of mode choice analysis. The factors that affect the traveler’s mode choice decision have been discussed. The methods of data collection have been briefly discussed. Further the paper highlights on …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 7–13 Read article
-
Computing Appraisal of Trust Management Techniques in the Internet of Things
Abstract: Trust management is an alarming problem when it comes to interconnections and communication of objects online; Internet of Things (IoT). For ten years now, IoTs has become so popular because of its significance effect to human activities and its innovative services to many application domains. Nevertheless, IoTs is confronted with many security issues such as trust management. In spite of the huge jobs of trust the board methods in IoTs, …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 2, 2021 · pp. 8–17 Read article
-
Real-time Sign Language Detection Using Computer Vision and Machine Learning Techniques
Abstract: Communication plays an important role in our day-to-day lives as it assists people in sharing, and connecting to each other. Despite knowing the significance of the same, some deaf-mute pupils who are not able to communicate freely. These groups of people use sign language for sharing their thoughts. It could be a tough task to understand sign language for a group of humans who are not deaf-mute. We developed a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 10–19 Read article
-
Embedding High Reliability in Computer Aided Drug Designing by Fault Forecasting Software Fault Tolerance Model
Abstract: Reliability and fault free environment is always a key important factor in any computer aided system. The one key factor is software fault. Faults can be reside and arise anywhere anytime though it is very well tested. In life critical systems/applications, fault must be tolerated at any cost.. Drug discovery and development are very time and resources consuming processes. It is very challenging era for today’s market. Computational techniques to …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 4, Issue 2, 2017 · pp. 24–29 Read article
-
Tracking Control of Robotic Manipulator using PID, Computed Torque Control and Sliding Mode Control Techniques
Abstract: In the last decades, the robotic manipulators have been extensively used in the industrial applications such as paint spraying, welding, accurate positioning system etc. In these applications, joint angles of robotic manipulators are directed to follow some given trajectories as close as possible. Therefore, Inspite of long years of research, trajectory tracking problem of robotic manipulators is the most significant and fundamental task for researchers to work upon. Robotic manipulator …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 24–29 Read article
-
Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article