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8 articles for “scene understanding”
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Human Behavior Monitoring, Characteristics and Prediction of Bipolar Disorder using Mobile Computation
Abstract: Generally, to Bipolar Qualification (BD), the recuperation moves have made intrigued within the concept of self-recovery. The reason of this ponder was to investigate the individual restoration in DB with a progressed demonstrate, which investigated how numerous stages were connected to different psychosocial and psychiatric profiles. There are increasing proves that engine movement is the finest pointer for bipolar clutter. Motor action comprises a number of areas, such as body …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Understanding the Process and Delivery of MOOC and E-Learning: A Case Study of MOOCs on SWAYAM Platform in India
Abstract: Online learning is one of the new measures taken by the Indian government. To bring large number of population on a new platform of learning through innovative pedagogy is changing the future of education scene in India. This empowers both the learner and the teacher through blended learning with interactive pedagogical tools. Education in digital platforms has become collective and collaborative learning practices to make it less oppressive, where the …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 8, Issue 2, 2018 · pp. 18–24 Read article
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Zoology in Forensic Science: Unraveling Mysteries through Animal Clues
Abstract: Traditionally, forensic wisdom has been grounded on mortal substantiation similar as fingerprints, DNA, and bloodstains to unravel the riddle of crimes. There's important untapped eventuality in the beast area that could unravel mystifications and bring culprits to justice. This composition explores the instigative area of crossroad of zoology and forensic wisdom by demonstrating how suggestions from creatures can be significantly contributed to felonious examinations. From beast poisons in analysis to …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 37–49 Read article
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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 Read article
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Mapping the Research Output of Saffron (Crocus Sativus)
Abstract: Analysing the bibliometric or scientometric aspect of any field of knowledge is very prime to understand the research trends in this dimension. Present study is an attempt to gain an insight into the research output of a medicinal plant (Crocus Sativus/Saffron). In order to assess the research output on Crocus Sativus or Saffron Web of Science database was used to extract the data. The results depict that Iran (700, 28.31%) …
Published in Research & Reviews : Journal of Herbal Science · Vol. 11, Issue 2, 2022 · pp. 1–6 Read article