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1518 articles for “Computational Data”
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Disease Prediction System Using Data Mining
Abstract: The project's main goal is to develop a system that allows users to get personalized advice on their health problems using data mining techniques. In today's hectic world, most individuals overlook this asset, which could be due to a lack of time or the intricacy of the massive data available on the internet. Our goal is to evaluate data processing techniques in clinical and health care settings in order to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 1, 2022 · pp. 9–13 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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Securing Healthcare 5.0: A Review of Applications, Security Challenges, and Future Perspectives
Abstract: Healthcare 5.0 represents a revolutionary shift in the healthcare sector, focusing on individualized, patient-centric care through the integration of different cutting-edge technologies such as internet of things, artificial intelligence, big data analytics, blockchain, and cloud computing to enable healthcare services such as real-time health monitoring, personalized treatments, and access to expert advice regardless of geographic barriers. Potentially, Healthcare 5.0 supports more engaged and effective care and help through a focus …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 22–36 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 · Vol. 14, Issue 4, 2023 Read article
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Enhancing the Cloud Data Security Using Keeper Key and Kernel Tag
Abstract: Cloud computing is used everywhere in today's era. Around 80+ businesses are running on cloud computing. But security is also an important issue. Barley is a disease that can spread destructively, leading to significant damage. Attacks can be done in two ways. One of them may be from outside the server and this study will discuss an important topic. Brute force and signature threats are attacks that attack cloud servers …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 35–46 Read article
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Digital Forensics: Fundamentals and Awareness to Society against Cybercrime
Abstract: This study presents the brief about the digital forensics which is mainly required to the non-technical people for general knowledge. Through this, people will know the role and importance of Digital Forensics. The main purpose is to aware people against hacking, stealing their information, fake email, e-payment fraud, fake messages and call on social networking such as Facebook, Instagram, LinkedIn and other online apps available for chatting and entertainment purposes. …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 2, 2022 · pp. 36–40 Read article
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Total Electron Content Variations Over Abuja During the Annular Solar Eclipse of September 1, 2016
Abstract: This study is focused on studying the variations of TEC over two GNSS stations in Abuja, Nigeria, during the annular solar eclipse of September 1, 2016. To visualize the effect of the eclipse on TEC, GNSS TEC data for 7 days were used; the 3 days before the eclipse day, the eclipse day, and the 3 days after the eclipse day. Data used in this work were obtained from two …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 38–45 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Efficient Identification of Complex Diseases Through Epistasis Computational Models: A Review
Abstract: AbstractGenome-Wide Association Studies (GWAS) identify and characterize the genes that are associated with human diseases. One of the significant ongoing researches in GWAS is to identify the disease susceptible genes through Epistasis. The gene that masks the effects of other genes is called Epistasis. The gene interacts with another gene is known as epistatic or genetic interactions (GGIs). GWAS identifies the genetic variants of Single Nucleotide Polymorphism and also the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 7, Issue 2, 2020 · pp. 21–32 Read article
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Artificial Intelligence Powered Computer
Abstract: Gesture control along with Artificial Intelligence has been very interesting topic in image processing for a long time. This is because it is very difficult for a computer to differentiate between background and foreground data in a given image. These technologies enable a person who has zero interaction with computer to use the various computer technologies like controlling cursor and certain functions of various computer applications. In this project we …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 1–10 Read article
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Designing Digital Filters of Underwater Wireless Sensor Node
Abstract: Underwater Wireless Sensor Networks (UWSNs), an emerging area, integrate sensing, computing, and communication into a single compact device. The digital data is acquired using an FPGA (Field Programmable Gate Array), and the fusion of numerous sensor data is accomplished in the sensor node’s ARM (Advanced RISC Machine) CPU. The sensor interfacing circuit should connect the sensor to the sensor node’s data collecting system. The data from these sensors may be …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 1, 2023 · pp. 43–53 Read article
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Homomorphic Encryption Property Algorithms
Abstract: The demand for privacy of digital data increased over the last decade. The new invention in cryptography world is Homomorphic Encryption (HE). HE enables operation on cipher text without knowing the plaintext and private key. When receiver decrypts the result of any operation, it is the same as if the receiver carried out the calculation on the plain text. HE has some specific property. There are two properties in homomorphic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 7–11 Read article
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Study and Research Survey of Machine Learning on Different Field for Next Research Directions
Abstract: Machine learning (ML) is a part of artificial intelligence (AI). ML is a brain of AI, which works to same to same as human creature. ML used to several learning algorithms is a part of related learning techniques as supervised, unsupervised, reinforcement, deep and deep-reinforcement learning techniques. ML used on various research fields as, cyber security, big data, IOT, big code naturalness, flood prediction, ultra sound computer-aided diagnostic system, medicine …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 46–55 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Various Techniques of Sentiment Analysis on Twitter Data Set: A Survey
Abstract: AbstractSentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment analysis could be a variety of data processing that measures the inclination of people’s opinions through natural language processing (NLP), linguistics and text analysis, that square measure want to extract and analyze …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 27–32 Read article
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Ligand Based Drug Virtual Screening in Computer Aided Drug Design: A Review
Abstract: Computer-Aided Drug Design (CADD) has revolutionized the drug discovery process by providing efficient and cost-effective methods for identifying potential drug candidates. Within CADD, ligandbased virtual screening techniques play a pivotal role in the early stages of drug discovery. This review provides a comprehensive overview of ligand-based drug virtual screening, focusing on its principles, applications, challenges, and future directions. Fundamentals of ligand-based virtual screening, including pharmacophore-based methods, similarity searching, and machine …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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A Unique Approach for Disc Encryption Based on Data Matrix
Abstract: The number of cloud users is growing due to contemporary facilities and technology. The Internet and cloud computing are the most often used categories nowadays. User privacy is a concern in cloud computing. Various approaches are being used to protect the data from intruders. This article uses a key to protect data that is comparable to plain text. The plain text and the key are partitioned into a matrix with …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 6–21 Read article
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Computations of Numerical Integrations Through PHP With MYSQL
Abstract: The main emphasis of this paper is to calculate numerical integrations like Trapezoidal and Simpsons’ rule with server side scripting. PHP is a server-side scripting language designed for web development but also used for general purpose programming language. PHP with MySQL fulfills computations of numerical integrations with reference to database created by the researcher .This paper is an interdisciplinary activity in terms of Mathematics and computer language.
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 1–3 Read article
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Enhancing Data Security Via the Application of Back- Propagation Feed-Forward Methods in Encryption
Abstract: The computer society uses a variety of automated methods for file security and data storage. Several organisations are concerned about the information exchange via an unsecured network for a distributed architecture, such as the time-sharing and real-time system. Probably the most crucial element that contributes to effective security is cryptography. Using a constant weighted factor for boosting the factor, the study aims at extending or updating the earlier presented Artificial …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 13–17 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article