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109 articles for “encoder”
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Website Summarization Using Deep Learning
Abstract: They are a lot of websites, articles and blogs on the internet with a lot of textual information it is sometimes impossible to read all of them, without knowing the underlying summary of the whole text. The whole concept is to reduce or minimize the entire Textual information into a small summary of important information present in the documents so that we get an idea of what the blog or …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 7–12 Read article
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Estimation of JPEG Image Compression for Colour Images Using the Forensic Detector
Abstract: Multimedia items would be required to transmit the secret information between the sender and recipient in order to raise the security level imposed on them. Watermarking is the most frequently habituated system for adding security to photos. In numerous cases, using a watermarking strategy to give security isn't feasible. Because the security communication is visible, hackers may add a watermark on the original image, just like the sender did, and …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 7–11 Read article
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Evaluations with RZ/NRZ Optical-CDMA Link
Abstract: AbstractThis article presents the proposed novel design for hierarchical asynchronous optical code-division multiple-access scheme; performance was investigated for numerous key parameters. With single active user, the RZ_ON_OFF ramp OCDMA scheme performance is better than other schemes over shorter reach; NRZ_OCDMA scheme is better for longer reach, depicted BER is in the range of 10-100 to 10-42 with three users and 10-28 to 10-12 with 32 active users over the randomly …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 2, 2017 · pp. 12–40 Read article
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Preliminary In Silico Analysis of Choline Monooxygenase and Betaine Aldehyde Dehydrogenase from Suaeda monoica Forssk. and its Expression in E. coli.
Abstract: AbstractIn a tropical country like India, the yield of crop plants is majorly affected by soil salinity and drought. One of the strategies to address this problem is by introducing genes responsible for salinity/drought tolerance in crop plants. Such genes could be identified and isolated from mangrove plants, as they are known to have evolved certain physiological mechanisms to augment saline environments. One such mechanism is the accumulation of Glycine …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 10–39 Read article
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Lexical semantic activation in persons with Aphasia
Abstract: Lexical semantic activation (LSA) is defined as retrieval of the most appropriate word from the lexicon. LSA is accomplished through three steps, conceptual activation, lexical node activation and phoneme retrieval and can be tested through a variety of tasks including priming task. LSA is found to be defective in persons with aphasia; it can be manifested as storage deficit or access deficit. Storage deficit is a condition where there is …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 3, 2017 · pp. 20–25 Read article
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Font-Based Text Steganography for Covert Communication in Devanagari Script: A Review (2020–2026)
Abstract: Steganography hides the fact that a communication exists rather than merely safeguarding its content. Text is the most challenging of all steganographic media because it contains the least redundancy and is the most sensitive to changes. Devanagari script, with its conjunct consonants, ligatures, matras, and non-linear glyph construction, makes these difficulties even harder, rendering rendering-dependent and OCR- based steganographic methods largely ineffective. This paper presents a systematic review of text …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 22–33 Read article
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Siri Bhuvalaya – An Ancient Universal Archive of Knowledge in Jain Tradition
Abstract: Siri Bhuvalaya, attributed to the Jain monk Kumudendu around the 11th century C.E., represents a unique multidimensional literary work that outshines conventional textual forms. Encoded through complex numerical matrices known as chakras and combinatorial rules called bandhas, it preserves a vast interdisciplinary compilation encompassing philosophy, mathematics, astronomy, chemistry, medicine, and linguistics. The text embodies Jain doctrines of pluralism and conditional truth by enabling multiple valid readings across over 700 languages. …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 10–14 Read article
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Comparative Analysis of the Model of DVB-T Model Using Various Modulation Techniques 16 QAM & 64 QAM for the Primary Colors
Abstract: Computerized TV broadcasting is the spirit without bounds transmission. Progressions in advanced innovation, pressure in sound and video flagging and other flag handling systems' improvement lead to qualitative change in the field of digital/computerized TV. Usage of a coaxial link and through satellite and earthbound way, computerized transmission is made conceivable. Digitized TV would execute the convolution coding plan alongside OFDM adjustment strategy. The pressure is done and afterward the …
Published in Recent Trends in Electronics Communication Systems Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Hardware Synchronization for Embedded Multi-core Processors
Abstract: The focus is not on whether multi-core systems are becoming prevalent, but on how microcontroller architectures should be designed to comply with stringent field requirements. This paper illustrates the transition from single to multiple cores, ensuring coherence and consistency in shared memory through hardware mechanisms. Hardware barriers are implemented to allow for point-to-point synchronization between processor cores. Practical experiments center on the initial stages of transforming single-core systems into dual-core …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 33–42 Read article
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The Efficacy of Fig Extract on Some Candida spp.
Abstract: The study was conducted in Al-Amin Laboratory by preparing the alcoholic extract of fig leaves, which were collected from the garden of a house in Najaf Governorate / Al-Shuara’a during the month of December 2023 for the purpose of testing its inhibitory effectiveness against two isolates of the fungus Candida albicans and Candida dubliniesis taken from Al-Amin Scientific Research Laboratory, where serial concentrations of the extract were prepared (12,9,6,3) mg/ml., …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 19–23 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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AI Chatbot for Expressing Visual Content
Abstract: Recently, the artificial intelligence (AI) chatbot for expressing visual content has shown remarkable multi-modal capabilities. It can recognize funny features in photos and create webpages straight from handwritten text. These characteristics are uncommon in earlier vision language models. We think the use of a more sophisticated large language model (LLM) is the main factor behind vision verbalizer's superior multi-modal generating capabilities. We introduce vision verbalizer, which employs a single projection …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 11–19 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Extended Spectrum Beta-Lactamase Production By Acinetobacter baumannii Isolated From Hospital Environment
Abstract: Extended spectrum β-lactamases production was determined by Double Disc synergy test for twenty one bacterial isolates of Acinetobacter bumannii isolated from the hospital environment. This study investigates the prevalence, genetic mechanisms, and clinical implications of ESBL production by A. baumannii. We employed molecular techniques to identify and characterize ESBL genes in clinical isolates, alongside evaluating their susceptibility profiles against a range of antibiotics. These resistant strains were notably associated with …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 71–78 Read article
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Review: Virulence factors, resistance genes and pathogenicity of Moraxella catarrhalis
Abstract: An estimated 2-4 million cases of chronic obstructive pulmonary disease(COPD) in adults are exacerbated by Moraxella catarrhalis annually in the US, making it a pathogen of increasing significance for respiratory tract infections. It often colonizes the nasopharynx without causing any symptoms and an opportunistic bacterial infection of the respiratory mucosa that is exclusive to humans. In our study, we reviewed references about the important virulence factors that M. catarrhalis possess …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 33–40 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 Read article
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FMR1 Key Biomarker in Fragile X Syndrome- A Comprehensive Review
Abstract: Fragile X Syndrome (FXS) is a complicated neurodevelopmental condition that causes intellectual disabilities, behavioural issues, and a variety of physical symptoms. Central to understanding FXS is the Fragile X Mental Retardation 1 (FMR1) gene, pivotal in the disorder's pathogenesis. This review examines FMR1 as a key biomarker in FXS, drawing on recent research insights. The FMR1 gene, situated on the X chromosome, encodes the fragile X mental retardation protein (FMRP), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 8–18 Read article