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59 articles for “depth estimation”
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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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Cyclist Safety Enhancement: A Multi-Modal Hazard Detection System
Abstract: This study presents a multi-modal hazard detection system to enhance cyclist safety in urban environments. Lever- aging a combination of computer vision, object tracking, and predictive modeling, the system offers a comprehensive approach to identifying and mitigating potential risks. Key contributions include improved depth estimation through object size priors, multi-class tracking utilizing KCF and Brisk, and a novel recurrent neural network architecture for predicting bicycle movement. The system’s collision detection …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 35–83 Read article
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Comparative Study of Structure-from-Motion Algorithms 3D Shape Reconstruction
Abstract: 3D shape reconstruction from multiview photographs and video sequences (2D images) is an active area of research. Existing face recognition systems are based on 2D facial images and exhibit well-known deficiencies. Accordingly, the face recognition research is gradually shifting from classical 2D to sophisticated 3D or hybrid 2D/3D. Currently the 3D reconstruction algorithms may be grouped in to four categories. These are shape-from-X, 3D morphable model (3DMM), structure from motion …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 1–10 Read article
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JATAYU: A Stereo Vision–Based UAV for Autonomous Navigation and Human Following in GPS-Denied Environments
Abstract: Traditional unmanned aerial vehicle (UAV) systems primarily rely on Global Positioning System (GPS)-based navigation and conventional computer vision techniques. However, these approaches face significant challenges in GPS-denied environments, such as dense urban areas, indoor spaces, and disaster-affected regions where GPS signals may be weak, unavailable, or unreliable. In addition, limitations in real-time processing, object detection accuracy, and environmental perception can reduce UAV effectiveness in dynamic and unpredictable situations. This paper …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 30–38 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Assessment of Scouring of Bank of River
Abstract: The thrust of water due to standing water and velocity of flow are taken. In flood cases, more depth of water and more velocity are to be taken and it is seen whether the embankment is safe or not. The maximum velocity of flow = 1.2 d taken where d is the depth of flow of water. The bearing strength of the soil of the embankment should be taken against …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 43–50 Read article
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Effect of EM Wave from Mobile Phone on Skin Depth in Human Blood, Bone and Muscle
Abstract: Cell phone technology has become an integral part of day to day life and it is used not only for voice messages but also for high resolution pictures and mainly the use of Internet. When cell phones are placed near to human body, the EM radiations emitted from the phone penetrate deep inside the body. The present paper investigations have been made to estimate skin depth of electromagnetic radiations inside …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 3, 2017 · pp. 16–20 Read article
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Analysis of Fibre Reinforced Beams
Abstract: There has been research into the flexural behaviour of composite beams with a variety of fibre layer depths, all of which were designed using the balancing section and the limit state design idea. The fibre depth is estimated to be 112 mm (d = 112 mm), with the first three dimensions being 94.44 mm (d1 = 94.44 mm), 46.12 mm (d2 = 22.35 mm), and 22.35 mm (d3) respectively. The …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 53–59 Read article
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Malaria Parasite Detection in Thin Blood Smear Images Using Deep Learning
Abstract: Algorithms in deep neural networks are being used to show the presence of malaria and to estimate the depth of infection by automatically counting individual uninfected and infected RBCs in images of thin blood smears. During the training period, the relationship was tried on a set of 13600 images from several thin blood spreads and experiment was conducted. My dataset is divided into 80% for training and 20% for testing. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article
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Estimation of Peak Flood Discharge for the Ungauged Catchments in the Tributaries of River Sutlej using Synthetic Unit Hydrograph Approach
Abstract: Estimation of peak flood discharge (PFD) for a given return period is of utmost importance for planning and design of hydraulic structures, river protection works, and development of integrated water resources management projects which can be computed by applying various approaches viz., flood frequency analysis, rational formula, envelope curve and synthetic unit hydrograph (SUH). In this paper, SUH approach is adopted for estimation of PFD for the ungauged catchments viz. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 29–41 Read article
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AOD Retrieval Over Different LULC Features Using AWiFS Data—A Case Study Over Dehradun
Abstract: In this study, an attempt is made to estimate the Aerosol Optical Depth (AOD) using a physically based radiative transfer model i.e. SMART (Simple Model for Atmospheric Radiative Transfer) over different LULC features. The forward procedure requires the data from Band B2: 0.52-0.59 μm of Resourcesat-2 Advanced Wide Field Sensor (AWiFS). While some of the atmospheric parameters, through transmittance, spherical albedo have been parameterized, few of them are utilized from …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 54–57 Read article
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Estimation of Dulling Rate and Bit Tooth Wear Using Drilling Parameters and Rock Abrasiveness
Abstract: Optimisation of the drilling operations is becoming increasingly important as it can significantly reduce the oil well development cost. One of the major objectives in oil well drilling is to increase the penetration rate by selecting the optimum drilling bit based on offset wells data, and adjust the drilling factors to keep the bit in good condition during the operation. At the same time it is important to predict the …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–20 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Size-biased Sujatha Distribution with Properties and Application to Model Flood Data
Abstract: In this study, a size-biased version of the Sujatha distribution was proposed to model flood data. The descriptive statistical properties based on moments and the reliability properties of the distribution are discussed in detail along with their derivation and graphical presentation. An interesting feature of the proposed distribution is that it is a member of the exponential family of distributions. A sequential probability ratio test was performed using the proposed …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 31–46 Read article
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Glacier Volume Changes and Their Climatic Causes in Tirungkhad Basin Located in Western Himalaya
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE In the Himalaya, a significant number of glaciers are shrinking due to climatic variations. Monitoring of these glaciers is important to assess future availability of water resources. However, Himalayan glaciers are normally difficult to monitor due to the rugged, mountainous terrain. Therefore, in the present study, Survey of India (SOI) topographical maps (1966) and Landsat datasets as ETM+ (2000, 2006) and TM …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 35–46 Read article
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Research Note on the estimation of unrained bearing capacity of spud can foundation under combination loading
Abstract: This research note presents a numerical investigation into the bearing behavior of an embedded spud-can in normally consolidated soil. The numerical model is implemented with ABAQUS*TM. The different embedment depths from shallow to deep are considered in this research note. The numerical model is based upon the ‘small strain finite element (SSFE)’ approach to compute capacity of the installed spud-can. The numerical model allows a systematic estimation of the combined …
Published in Journal of Offshore Structure and Technology · Vol. 5, Issue 3, 2018 · pp. 7–26 Read article
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Road Maintenance by Pothole Detection and Filling Robot
Abstract: Road infrastructure plays a vital role in ensuring safe and efficient transportation; however, potholes remain a major challenge due to their impact on road safety, vehicle maintenance costs, and traffic flow. Traditional pothole inspection and repair methods rely heavily on manual labor, making the process time-consuming, costly, and potentially hazardous for workers. To address these limitations, this paper presents a Pothole Detection and Filling Robot, an intelligent robotic system designed …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 39–46 Read article
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Optimization of Machining Parameters for Minimum Surface Roughness Indicators during the Turning of AISI 316 L Stainless Steel
Abstract: Turning is the most common process associated with the production of cylindrical shapes because of its simplicity, rapidity and economy. However, it is one of the most complex cutting processes. Turning is considered to be a complementary process of other more important processes, and yet 70% of the generated chip comes from this cutting technique. Quality plays important role in manufacturing industry. In on-line quality control, controller is provided with …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 24–30 Read article
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Evaluation of J-Integral and Fatigue Crack Growth Rate of Semi-elliptical Crack in Compressor Blade
Abstract: Gas turbine compressor blades are subjected to centrifugal, gas bending and vibratory loads. This repeated loading and unloading can reduce the life of compressor blades. This research aims at the estimation of fatigue crack growth rate of various three-dimensional cracks in a compressor blade considering the J-integral calculations for a semi-elliptical crack, subjected to centrifugal loading. Static stress analysis was carried out to ascertain the critical region or crack zone …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 39–46 Read article
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Evaluation of J-Integral and Fatigue Crack Growth Rate of Semi-elliptical Crack in Compressor Blade
Abstract: Gas turbine compressor blades are subjected to centrifugal, gas bending and vibratory loads. This repeated loading and unloading can reduce the life of compressor blades. This research aims at the estimation of fatigue crack growth rate of various three-dimensional cracks in a compressor blade considering the J-integral calculations for a semi-elliptical crack, subjected to centrifugal loading. Static stress analysis was carried out to ascertain the critical region or crack zone …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 39–46 Read article