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Artificial Intelligence
Image Processing and Computer Vision
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Conference Paper
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Chapter and Conference Paper
Small Area Estimation of Mean Years of Schooling Under Time Series and Cross-sectional Models
Small area estimation develops within the framework of time series and cross-sectional models. The restricted estimation maximum likelihood method was used to obtain the empirical best linear unbiased predicti...
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Chapter and Conference Paper
Within- and Between-Class Sample Interpolation Based Supervised Metric Learning for Speaker Verification
Metric learning aims to pull together the samples belonging to the same class and push apart those from different classes in embedding space. Existing methods may suffer from inadequate and low-quality sample ...
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Chapter and Conference Paper
Color-Correlated Texture Synthesis for Hybrid Indoor Scenes
We introduce an automated pipeline for synthesizing texture maps in complex indoor scenes. With a style sample or color palette as inputs, our pipeline predicts theme color for each room using a GAN-based meth...
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Chapter and Conference Paper
Denoised Dual-Level Contrastive Network for Weakly-Supervised Temporal Sentence Grounding
The task of temporal sentence grounding aims to localize the target moment corresponding to a given natural language query. Due to the large burden of labeling the temporal boundaries, weakly-supervised method...
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Chapter and Conference Paper
A Deep Learning Approach for Single-Cell Perturbation Prediction Using Small Molecule Chemical Structures
In this study, we develop a deep learning framework aimed at predicting the impacts of chemical perturbations on individual cells, emphasizing the encoding of small molecular chemical structures . Utilizing th...
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Chapter and Conference Paper
The Production of Successive Addition Boundary Tone in Mandarin Preschoolers
In Mandarin Chinese, a falling tone or a rising tone can be added to the final lexical tone of an utterance, called successive addition boundary tone (SuABT). It can be used to convey pragmatic or paralinguist...
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Chapter and Conference Paper
Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-subject fMRI Data
Complex-valued shift-invariant canonical polyadic decomposition (CPD) under a spatial phase sparsity constraint (pcsCPD) showed satisfying separation performance of decomposing three-way multi-subject fMRI dat...
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Chapter and Conference Paper
Evaluation of SLAM Algorithms for Search and Rescue Applications
Search and rescue robots have been widely investigated to detect humans in disaster scenarios. SLAM (Simultaneous Localisation and Map**), as a critical function of the robot, can localise the robot and crea...
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Chapter and Conference Paper
TrackAgent: 6D Object Tracking via Reinforcement Learning
Tracking an object’s 6D pose, while either the object itself or the observing camera is moving, is important for many robotics and augmented reality applications. While exploiting temporal priors eases this pr...
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Chapter and Conference Paper
Neuroevolution-Based Earthquake Intensity Classification for Onsite Earthquake Early Warning
Earthquake warning systems are adopted as the last resort for providing automated actions preventing secondary hazards due to earthquakes. However, existing methodologies do not provide site-specific warnings ...
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Chapter and Conference Paper
Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques
Wind turbine blades require continuous monitoring as they are a crucial part of the wind turbine system. Because of the surrounding climatic conditions and prolonged operation, wind turbine blades were exposed...
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Chapter and Conference Paper
Realization of 5G NR Primary Synchronization Signal Detector Using Systolic FIR Filter
The era of 5G has taken over the wireless communications to another dimension where there is a necessity for enhanced speeds, low-power consumption, less area intake, and ultra-low latency networks. In this pa...
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Chapter and Conference Paper
Traditional Indian Textile Designs Classification Using Transfer Learning
Traditional Indian textile designs are very rich and varied and reflect the culture of the area in which they are popular. Unfortunately, artisans for these forms of art are dwindling because of the onslaught ...
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Chapter and Conference Paper
ACMA-GAN: Adaptive Cross-Modal Attention for Text-to-Image Generation
Automatically generating realistic and natural high resolution images from text descriptions is a complicated problem in the cross-modal research field. Recently, multi-stage conditional generative adversarial...
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Chapter and Conference Paper
A Framework for DDoS Attack Detection in SDN-Based IoT Using Hybrid Classifier
Software Defined Networks (SDN) and Internet of Things (IoT) are the two emerging fields and due to their ability to provide ease in accessing the information for managing devices, they are getting popularity....
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Chapter and Conference Paper
Distributed Deep Learning for Content-Based Image Retrieval
In content-based image retrieval (CBIR), the main objective is to obtain the best possible feature of an image. Traditionally, color, texture and shape were used to extract the features of image. But as the de...
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Chapter and Conference Paper
VLNet: A Multi-task Network for Joint Vehicle and Lane Detection
Visual perception is a crucial component of autonomous driving. Fully understanding the road environment is conducive to the safe driving of vehicles. However, most existing methods are usually unable to simul...
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Chapter and Conference Paper
Deep Transfer Learning and Intelligent Item Packing in Retail Management
The main aim of this research is to facilitate recognition of plant items products packing service and overcome the challenge of classifying human eye without relying on human memory, and therefore, to facilit...
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Chapter and Conference Paper
A Novel Smartphone-Based Human Activity Recognition Using Deep Learning in Health care
Nowadays, most smartphones feature a number of strong sensors, such as direction, network, location, and motion sensors. Motion and inertial sensors (i.e., accelerometer, gyroscope, etc.) are particularly popu...
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Chapter and Conference Paper
Application of 1-D Convolutional Neural Network for Cutting Tool Condition Monitoring: A Classification Approach
In any machining activity, the role of cutting tool is to remove excessive material while producing desirable surface finish of workpiece. Tool Condition Monitoring (TCM) assists early detection of wear/faults...
