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794 articles for “Data Types”
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Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abstract: AbstractOnline networking gives clients a platform to discuss successfully with companions, family, and partners, and gives them a stage to discuss their top pick (and minimum most loved brands). This "unstructured" discussion can provide organizations crucial understanding into how buyers see their image, and enable them to effectively settle on business choices to keep up their horizons. Fast in the volume of conclusion, rich online networking on the web has …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 20–25 Read article
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History, Processing, Types and Health Benefits of Indian Yogurt
Abstract: Yogurt is a food which is nutrient rich and it is produced after the milk bacterial fermentation. Yogurt should have 3.25% milk fat and 8.25% milk solids non fat and the titrable acidity of at least 0.9%, which is expressed as lactic acid. Before adding bulky flavoring additives, the USDA yogurt criteria specify that the yogurt must satisfy the composition requirements of milk fat and MSNF. The data used in …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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Use of Light Curing Units in Orthodontics: A Review
Abstract: Light curing units, because of their wide field of applications, are now indispensable for an orthodontist or a general dentist, and hence it is very important to be familiar with the various types of light curing units, their history, specifications, advantages, and disadvantages. To find the articles appropriate for this systematic review, a search was conducted in the database PubMed (from 1966 to March 2010) using the terms abstracts of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 2, Issue 1-3, 2011 · pp. 69–75 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 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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Designing a Pure Talent Management Model in the Growth Centers of Technological Units of Islamic Azad University with the Foundation's Data Approach
Abstract: Talent management is one of the management fields that has experienced the greatest growth in the last two decades. Due to its competitive nature, for the first time the concept of talent management was proposed in private organizations and large multinational companies and was widely welcomed. Therefore, the main goal of this research is to design a lean talent management model in Islamic Azad University technology development centers with a …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 45–50 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Applications of Wireless Sensor Network
Abstract: Wireless sensor networks (WSNs) have grown in popularity in recent years and have a wide range of applications, including health, the environment, and the military. Despite its impressive capabilities, the creation of WSN remains a difficult endeavor. Several programming approaches that focus on lowlevel system concerns have been offered in current real-world WSN installations. WSNs are a type of network made up of interconnected sensor nodes that communicate wirelessly in …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 3, 2021 · pp. 44–49 Read article
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Image Compression Techniques-A Comparative Study
Abstract: AbstractDigital images are required to store a large among of storage space in digital computers. Nowadays, computer system is very capable to process digital images with high resolution quite easily. The transmission of huge data needs more time to transfer over network channel. Thus, time and space are two fundamental components of computing. In the field of digital image processing, image compression is one of the most popular and commercially …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 82–87 Read article
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Different Variants of LEACH Routing Protocol in WSN
Abstract: In recent wireless technology, less energy consumption design and new wireless technologies have produced very important applications for wireless devices. These types of applications cover very large area and also use for real time transfer of large data from one device to another, due to this kind of application, WSN are generally suffering from resource constraints. Nodes are general battery powered. This makes application with limited energy so it is …
Published in Journal Of Network security · Vol. 3, Issue 1, 2015 · pp. 22–27 Read article
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Performance Analysis of Clustering Network Using Enhanced DEC Protocol for WSN
Abstract: Each node of a wireless sensor network (WSN) is connected to several other sensors. These sensor nodes can be deployed in dense for monitoring variety and wide range of applications. There are different types of protocols in WSN used to route the packets from source to destination. They are data-centric, hierarchical, and location-based and network flow and quality of service. To manage the energy consumption of WSN, one of the …
Published in Journal Of Network security · Vol. 4, Issue 1, 2016 · pp. 23–31 Read article
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Nondairy desserts: Potential ingredients for the development of innovative formulations
Abstract: With a growing demand for lactose-free foods, the food industry faces a challenge in identifying new food ingredients to replace equivalent chemical constituents of milk, achieve similar rheological properties, and preserve texture stability and sensory properties in milk-free food preparations. This study aimed to systematize data on potential innovative ingredients for the production of nondairy desserts, with a focus on different types of texturizing agents. Cactus mucilages, cereal and legume …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 11, Issue 3, 2022 · pp. 1–9 Read article
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Vegetation Analysis in Kumaun Himalaya using Remote Sensing
Abstract: Vegetation and land use of Kumaun Himalaya was analyzed using remote sensing data. A total of 15 vegetation and land use classes were mapped, of which, eight vegetation types and seven land use categories were identified. Utilizing the knowledge of altitude bound distribution of vegetation digital elevation model (DEM) was used for the post-classification refinements. Forest spreads over 52% of total geographical area, while 48% of the total geographical area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 3, Issue 1, 2014 · pp. 9–16 Read article
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Machine Learning Using Python
Abstract: Machine learning (ML) is a subset of artificial intelligence (AI) that enables software applications to become more accurate at predicting outcomes without explicitly programming them to do so. Machine learning algorithms predict new output values by using historical data as input. In this project, we have used data from the 1994 U.S. Census to model people's income using numerous supervised algorithms of your choice. The best candidate algorithm will then …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 25–37 Read article
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Flood Frequency Analysis of Big Akaki River, Awash Basin, Ethiopia
Abstract: Flood is one of the most dangerous naturally occurring catastrophic hazards now days displacing and killing people and destroying properties. During high flow, the Big Akaki River flooded the vicinity of the area and causes loss of cultivated land and life. Flood water inundates the floodplain areas and cause vast damages to life and property. The main objective of this paper is to analyze the inundation area along the Big …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 35–48 Read article
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Analysis of Mental, Economic, Road and Insecurity Related Stress as Correlate Factors in Road Accidents in Nigeria
Abstract: In this paper, we carryout research on stresses as a correlate factor for road accidents in Nigeria. The researchers identified four types of stresses namely; mental stress, economic stress, road stress and insecurity stress. Each of these stresses were measured by their respective stressors and perception index scales. The researchers collected data using the instrument of questionnaires. A simple random sampling technique was used to draw ten transport companies from …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 2, 2023 · pp. 21–29 Read article
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Integration of Soil Profile Data in Crop Prediction Models: A Comprehensive Review
Abstract: Farmers in many areas of India are having crop production issues due to soil and climate. There is no comprehensive guide accessible to assist them in developing the appropriate types of plants using modern technology. Farmers may be unable to benefit from agricultural scientific developments due to illiteracy and may continue to rely on human practises. This complicates getting the desired yield. Crop failure, for example, could be the result …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 6–11 Read article
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Graphs and Their Real-Life Applications in Pharmaceutical Research
Abstract: This study provides a comprehensive overview of the role of graphs in pharmacy research, emphasizing their significance as powerful tools for data visualization, interpretation, and communication. In the field of pharmacy, research often generates large volumes of complex data related to drug development, pharmacokinetics, pharmacodynamics, medication safety, and patient outcomes. Graphs serve as an essential medium to translate these data into accessible, interpretable, and actionable insights, supporting evidence-based practice and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 01–08 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Tweets Classification using Different Classifiers for Sentiment Analysis
Abstract: Twitter is a famous platform for social networking where people share and engage with "tweets" comments. It is a way of expressing people's opinions or emotions on various topics. Different parties, like producers and consumers, have carried out a sentiment analysis on tweets to gain insights into goods or to analyze the sector. Also, the accuracy of our sentiment analysis forecasts will increase with the recent advances in machine learning …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 34–43 Read article