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1977 articles for “Features” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Salient Region Guided Deep Network for Violence Detection in Surveillance Systems
Abstract: Abstract: It is significant to detect violent actions in video surveillance systems automatically, for example, bus stands, malls and railway stations. Though, the earlier detection techniques generally extract statistic features around the spatiotemporal interest points or extract descriptor in the regions where movement takes place, leading to limited abilities to successfully detect violence activities in video surveillance systems. To solve this problem, a new approach for the automatic detection of …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 19–28 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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An Approach to Image Recognition on the Basis of Plant Diseases Ontology
Abstract: AbstractOntology engineering for the plant science is supposed to contribute on the basis of plants traits that determine phenotypic expression in a given environment. Plants play a very important role in the ecological balance and daily necessities in the life. Due to environmental or other causes many of the plants become damaged and hence the investigation of the plant recognition on the basis of diseases is a major research area …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 1–9 Read article
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Face and Iris based Multimodal Person Identification using Likelihood Ratio Score Fusion Approach.
Abstract: AbstractThe aim of this paper is to propose a multimodal biometric system where likelihood ratio score fusion technique has been used to combine face and iris uni-modal biometric system outputs. Active Shape Model (ASM) has been used to extract the facial features and standard methods have been applied to effectively extract the human iris features. To evaluate the output of each individual modality of face and iris, Discrete Hidden Markov …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 60–67 Read article
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Application of High Level Programming Language (Visual Basic): A Review
Abstract: Visual Basic is a one type of high-level Object Oriented Programming Language. It is built by the Microsoft.NET Framework. It has finally become a fully-generated Object Oriented Programming Language with all the associated features one would come to expect. It allows programmers to handle much larger applications, through improved scalability and reusability with all features. Various VB Tools are used in this program. This article discusses the new features using …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 34–48 Read article
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Machine Learning Based Smart Aquaponics Farming System
Abstract: For many years, researchers have been studying nutrient management in aquaponic systems. Most have concentrated on adequate nutrition control in an aquaponic setup, but there has been relatively little study on commercial scale applications. For plant growth, it is necessary to measure the level of nutrients present in the soil mixture. In our model, the input data was sourced on some interval of time basis from three commercial aquaponic farms. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 30–37 Read article
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CNN based Gesture Recognition for ISL
Abstract: AbstractGesture recognition has always been at a peak when it comes to computer vision and human-computer interaction (HCI). Hand gestures can be used for interaction with systems like managing UAVs, medical devices, videogames, etc. In this paper, the main focus is on handicapped people, who are physically unable to speak or listen. With the help of computer interaction, gestures will be recognized. As, the same gesture by another people differs, …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 11–19 Read article
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Isolation and Characterization of “Heavy Chain Antibody” Variable Domain Gene of Indian Desert Camel (Camelus dromedarius, L.)
Abstract: Camelids have “heavy chain antibodies” (HCAbs) of IgG isotype (IgG2 and IgG3 subtypes) and lack light chains and heavy chain constant domain 1 (CH1) in their structure. The molecular biological features of VHH (i.e., antigen binding variable domain of HCAbs) gene isolated from Indian desert camel were examined as a prelude to construct VHHs-phage display library. VHH cDNA was synthesized by reverse transcription-polymerase chain reaction (RT-PCR) from B lymphocyte mRNA, …
Published in Research and Reviews : A Journal of Immunology · Vol. 3, Issue 1, 2013 · pp. 22–31 Read article
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DETECTION OF LUNG CANCER USING SOFT COMPUTING TECHNIQUES
Abstract: Cancer is a generic term that can affect any part of the body. Most cancers, 90%-95%, are because by environmental and lifestyle variables which cause genetic mutations. Inherited genetics account for 5% to 10% of the total. Early identification of lung cancer has improved patient survival and has been a vital study topic. It starts within the cells covering the bronchi and lung parts like bronchioles or alveoli. Due to …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 1–12 Read article
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An Overview on the Management cum Treatment of Nephropathy in Type-1 Diabetes Mellitus
Abstract: The motive of this review is to keep updated with the medical nonfictions, the projected early natural arrangement of diabetic nephropathy, the theories behind the root of its pathogenesis pathophysiology, diagnosis and its supervision. Type 1 diabetes is an autoimmune disease characterized by advanced destruction of pancreatic beta cells by genetic and environmental factors which primes to an absolute necessity of insulin for survival and conservation of health; while Diabetic …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 3, 2020 · pp. 19–38 Read article
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Atypical Psychiatric Presentations of Autoimmune Encephalitis: A Case Series and Proposed Clinical Approach to Diagnosis
Abstract: Background: knowledge and detection of seronegative autoimmune encephalitis (AE) is growing rapidly, but typical psychiatric presentations risk misdiagnosis or delay in diagnosis with worse prognostic outcomes. Paraclinical markers are useful when positive, and integral to the current diagnostic framework yet have limited sensitivities leaving an unknown percentage of patients without diagnosis or treatment. Cases not meeting diagnostic criteria pose a particular clinical challenge regarding diagnosis and treatment decision making and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 2, 2022 · pp. 26–37 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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Identification of individual ragas using artificial neural network classifier
Abstract: This paper presents the feature extraction as the base step of music information retrieval. Basic feature of music is chroma, which is extracted using from the music signal using spectrogram and chromagram. After the extraction of feature the comparison is made between the original data and extracted chroma data using neural network. Cite this ArticlePriya, Ravi Kumar. Identification of individual ragas using artificial neural network classifier. Journal of Artificial Intelligence …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 24–28 Read article
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A Review on Image Retrieval with Its Application and Techniques
Abstract: In the field of image processing, image retrieval is one of the most dynamic exploration field in the previous few years. In the image retrieval three main categories there are text-based, content-based and semantic-based. In content based image retrieval (CBIR) images are retrieved from their visual content such as color, texture and shapes. CBIR is used to effectively retrieve required images from a large collection of images. In this paper, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 27–35 Read article
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Summarizer: A Single Document text summarization using Hybrid Approach
Abstract: Summarization task is a process of diminishing the size of the input text, without altering its overall meaning, by selecting only the significant parts of the input text as an output. Summary of a text can be obtained either by an abstractive approach or an extractive approach. Our system is a hybrid system (that is the combination of abstractive and extractive approach). The first stage of this system is to …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 15–25 Read article
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A Comorbid Algorithm to Significantly Compress Text Contents of Several Web Pages in Conformational Dynamics
Abstract: In this paper, we presented and achieved the compressing scheme of the textual language contents of several web pages. It presents a validation approach of detected alignment links between characters within the transcript through the mathematical transformation of a multimodal document framework of multimedia features. This entailment process exploits several features, from the structural level of the computational linguistics and its tokens. The obtained results provide the future foundation of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 2, 2014 · pp. 1–3 Read article
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Face Recognition using Genetic Algorithm with Self-Organizing Mapping based Dimensionality Reduction Technique
Abstract: The contribution of this work is to develop a face recognition technique where Genetic Algorithm has been used. Here facial features are extracted using Active Appearance Model (AAM) and Kohonen Self-Organizing Mapping (SOM) technique has applied to reduce the dimension of the extracted features. Efficient image pre-processing techniques are used to prepare the face for the proposed system. Finally, Genetic Algorithm has been used to classify the facial features. In …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Analysis of Side View Face Recognition Using Gabor Filter and PCA Techniques
Abstract: AbstractRecognition of human side face is being a dynamic research area in recent era. A different system for face recognition including side view confront has been proposed in this paper. Face recognition utilizing blocked face or using a small portion of the face is still an issue in human recognition which has incredible potential in criminological and security applications. The paper gives a concise thought regarding PCA and 2DGF systems …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 21–27 Read article