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62 results for “world networks”
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Research ArticleOpen accessAll words, across the recordEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,427 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomated Position System Implementation over Vehicular Ad Hoc Networks in 2-Dimension SpaceSoumen Kanrar, Mohammad SirajProblem statement: The real world scenario have changed from the wired connection to wireless connection. Over the years software development has responded to the increasing growth of wireless connectivity in developing network enabled software. The problem arises in the wireless domain due to random packet loss in transport layer and as well as in data link layer for the end … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,191 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImpacts of Application Usage and Local Hardware on the Throughput of Computer Networks with Desktop VirtualizationVitor Chaves De Oliveira, Alexandre De Assis Mota, Lia Toledo Moreira MotaCurrently, virtualization solutions are employed in the vast majority of organizations around the world. The reasons for this are the benefits gained by the approach, focusing on increases in security, availability and data integrity. These privileges are also present in a new technique, which emerges from this same concept and is called desktop virtualization. This method, compelled by these advantages, … …American Journal of Applied Sciences, Vol. 10, Issue 1 · 28 Jan 2013 · 7,117 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordDeployment of Auction Theoretic Models for Spectrum Allocation in Cognitive Radio NetworksMonisha Devi, Nityananda Sarma, Sanjib Kr. DekaCognitive Radio (CR) is a novel technology which empowers the unlicensed users to opportunistically avail the free channels left unoccupied by the licensed owners. This apparently resolves the spectrum scarcity problem arising in today’s telecommunication industry. In this technology, once the free bands (called spectrum holes) are detected using sensing techniques, next there is a need to efficiently redistribute the … …Journal of Computer Science, Vol. 16, Issue 5 · 21 May 2020 · 7,147 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFuture Emoji Entry Prediction Using Neural NetworksHelen Wilfred Raj, Santhi BalachandranIn today’s world, textual data has made momentous progress in social media. The rise of digital communication via text has paved the way to emoji, a pictographically represented way of expressing emotions. In digital communication, Emoji gives a visual appeal to the text, which improves communication and new vistas of exchange and creativity. While emoji entry prediction based on text … …Journal of Computer Science, Vol. 16, Issue 2 · 10 Aug 2019 · 9,137 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,038 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDevelopment of Electronic Control Circuits for WSN: Towards a Livestock Tracking and Identification SystemObakeng Maphane, Oduetse Matsebe, Molaletsa NamosheBotswana’s beef sector contributes 0.3% of the total world beef exports, i.e. US$ 42.4 billion as of the year 2013 and her major market is the European Union (EU). Unfortunately, her failure to comply with the frequently changing European Commission (EC) export regulations on livestock tracking and identification means that beef export to this market is sometimes suspended. Research trends … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 4 Oct 2017 · 7,967 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordArtificial Neural Networks Based Red Palm Weevil (Rynchophorus Ferrugineous, Olivier) Recognition SystemSaleh Mufleh Al-Saqer, Ghulam Mubashar HassanProblem statement: The most dangerous insect for the existence of palm trees in entire world is Red Palm Weevil (scientifically named as Rynchophorus Ferrugineous, Oliveir). The proposed research is conducted to develop an identification system for Automated Wireless Red Palm Weevil Detection and exterminated. The core idea of the proposed research is to develop software that can utilize image processing … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 9,187 accessesView PDFCite