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1941 articles for “objects” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Reducing the Dimensional Dependence for Rank-Based Similarity Search
Abstract: In this paper a data structure for k-NN search, the rank cover tree (RCT) is implemented. The pruning tests for RCT rely on the comparison of similarity values and not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that with …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 9–17 Read article
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Optimization of Simulated Annealing Parameters for Bi-Criteria Multiprocessor Task Scheduling Using RSM-Grey Methodology
Abstract: AbstractSimulated Annealing (SA) has been shown as an exceptional method for finding an optimal solution to the combinatorial optimisation problems. In the present work, optimal combinations of different simulated annealing parameters have been identified by using the RSM-based grey relational analysis (GRA) for Bi-criteria multiprocessor task scheduling problem. Parameter selection is needed as SA is a meta-heuristic that does not specify all the necessary information for the optimised results. The …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 17–28 Read article
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Artificial Neural Network-Based Multifocus Image Fusion
Abstract: Fusion of multiple images is needed for combining information contained in images obtained using different imaging devices or different camera settings. Due to the physics of optical lenses present in these devices, it is difficult to capture an image that has all the relevant objects well in focus. Thus, artificial neural network (ANN)-based multifocus image fusion method in YCbCr color space is proposed. Input images are first mapped from RGB …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 16–23 Read article
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Review of E-Commerce Information Extraction and Classification Technique for Recommendation
Abstract: E-commerce business sites are generally looked with complex item models and particulars, assorted utilization propensities, different kinds of requests. They will prompt low activities proficiency and business handling speed. By improving the speed of item data refresh, input on client interview and the request procedure, E-commerce office activity specialist co-ops can keep these issues. The figuring of the algorithm procedure of the heaviness of assessment files. The examination objective is …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 2, 2019 · pp. 1–16 Read article
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Data Hiding Techniques Using Steganography Algorithms
Abstract: Steganography is the method of hiding information or data in a very peculiar manner using cover objects and various techniques. In the last two decades, the adaptability of the digital communication and information sharing arouses the need for data susceptibility and thus steganography comes into play. Derived from Greek word “steganos” meaning hidden, comes steganography or “concealed writing”. It focuses on creating a safe and secure communication link between the …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 1, 2020 · pp. 12–14 Read article
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Forward Collision Avoidance System in a Self-driving Remote Controlled Car: An Application of Machine Intelligence
Abstract: Abstract: The paper discusses the experimental vision-based forward collision avoidance system (FORCAS), an autonomous bot car based on machine learning using Raspberry Pi as a processing platform. Using HD camera images as a primary input, Raspberry Pi combines processes and predict path using convolutional neural network and distance estimation models. It distinguishes the stationary objects on a drivable road surface and estimates their distances from a single camera’s view. Classification …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 13–18 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Artificial Intelligence In Transfusion Medicine And In Our Mission To “BEAT- COVID”
Abstract: The key objectives of this manuscript are: 1] Demystifying the buzzword of Artificial Intelligence [AI] and comparing neuronal networkings similarity of machines with some mammals; 2] Exploring, from outside sources, the breath of some computerized procedural data generated in laboratory and clinical areas of medicine, by robotic tools in the cutting age of transfusion medicine; 3] Expressing views on the variabilities of covid- associated long lasting microcirculatory disseminated pathogenic autoimmune …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 10–21 Read article
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A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
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Comparative Review on Image Fusion Techniques
Abstract: The goal of image fusion is to combine relevant information from two or more images of the same scene of the different times. The result of image fusion is a new fused image which is more suitable for human being and machine discernment for further image-processing tasks like segmentation, feature taking out and object recognition. Image fusion is the combination of two or more different images to form a new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 10–13 Read article
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A Review Paper on Privacy and Security problem at different Levels in IOT with Their Solution
Abstract: Abstract- These days Internet of Things (IoT) has grown a gargantuan attention in researchers, and it becomes an central technology that promises a smart human being life, by the means of communications between different machines ,objects , human beings and things related with the peoples. The internet of things, or IoT, consistent of system of computing devices, digital and involuntary machines, animals or objects, people that are provided with distinctive …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 3, 2018 · pp. 6–12 Read article
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Analogy between Various Edge Detection Algorithms
Abstract: Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 39–44 Read article
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A Review on Breast Cancer Diagnosis in Mammography Images Using Deep Learning Techniques
Abstract: The Breast Cancer is second of the dangerous type diseases that is very effective for women in the world. Breast Cancer is spread very fast in last stage. It’s not give a more time for patients for treatment. We need accurate and efficient diagnosis system over a short period of time that can processed a large amount of data in a short time. It’s only possible using deep learning techniques. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 51–57 Read article
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A Review on Image Segmentation with Its Application
Abstract: ‘Image Segmentation’ is the most basic capacities in picture examination and preparing. In a broad sense, division results influence all the ensuing procedures of picture examination, for example, object representation and portrayal, component estimation, and even the accompanying larger amount assignments, like object arrangement. Henceforth, image segmentation is the most fundamental and vital procedure for encouraging the outline, portrayal, and representation of the locales of enthusiasm for any picture. Image …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 21–29 Read article
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Microsoft Kinect Sensor Technology and its Methods
Abstract: Kinect is a technology that is capable of motion tracking and sensing. Kinect plays a unique role in the study of identification. Its unique properties of being able to identify the objects are performed with a sensor. Kinect Sensors track objects based on the color and data. Kinect sensors have been developed overtime for tracking various actions and postures. Improvisations are inhibited within the technology based on identity, digitization, alpha …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 29–35 Read article
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Study and Analysis ofMATLAB-based Face Masks Recognition System
Abstract: Due to the corona epidemic, numerous kinds of face covers are being utilized. Use in face covers is the solitary material that mirrors the nature of the veil. The objective of the present study is creating an auto face recognition system through face mask recognition system through MATLAB to protect people from the corona epidemic. As the human face mask is a dynamic object having a high degree of variability …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 20–24 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Virtual Human Computer Interaction System v1
Abstract: AbstractAccording to various research people are having numerous health problems just because they sit in front of machine for long time. Human Computer interaction is completely dependent on peripheral devices (Mouse, keyboard). Dependency on peripheral devices had made people suffer from back pain, headache, obesity and other physical fatigues. Our approach is to reduce dependency on peripheral devices by creating virtual human computer interaction system. A virtual mouse controlling system …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 20–22 Read article
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Design of a Technique to Improve Software Maintenance Using Fuzzy Logic
Abstract: AbstractMaintainability is one of the most important aspects of software development. In that, maintenance costs account for at least 60–65% of total software lifetime costs. Software quality is the most important factor in the development of any software, which can depend on many quality attributes. Fuzzy logic is one of the techniques, which can be used to establish the relationship between object oriented metrics and software maintainability. In this paper …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 3, 2016 · pp. 21–27 Read article
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An Analysis on Feature Selection Method using Real Coded Genetic Algorithm (RCGA)
Abstract: The work presented in this thesis mainly focuses on the solving protein structure prediction (PSP) problem from machine learning models. The prediction of distance-to-native of protein structure is carried out using regression machine learning models with six physicochemical properties. The objective is to predict the distance to the native like structure in the absence of its true native state and report how far a structure is from its true native. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 23–30 Read article