- Zeolite Catalysis and Synthesis
- Mesoporous Materials and Catalysis
- Sports Performance and Training
- Sports injuries and prevention
- Biometric Identification and Security
- Sports Analytics and Performance
- Forensic and Genetic Research
- Catalytic Processes in Materials Science
- Metal-Organic Frameworks: Synthesis and Applications
- Chemical Synthesis and Characterization
- Polyoxometalates: Synthesis and Applications
- Inorganic Fluorides and Related Compounds
- Catalysis and Hydrodesulfurization Studies
- Forensic Fingerprint Detection Methods
- Video Analysis and Summarization
- Topic Modeling
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Multimodal Machine Learning Applications
- Vehicle License Plate Recognition
- Non-Invasive Vital Sign Monitoring
- Methane Hydrates and Related Phenomena
- Music and Audio Processing
- Image Retrieval and Classification Techniques
- Healthcare Technology and Patient Monitoring
University of Notre Dame
2020-2023
Bangladesh University of Engineering and Technology
2019
University of Manchester
1991-1995
Division of Chemistry
1994
With the advances in hardware technologies and deep learning techniques, it has become feasible to apply these techniques diverse fields. Convolutional Neural Network (CNN), an architecture from field of learning, revolutionized Computer Vision. Sports is one avenues which use computer vision thriving. Cricket a complex game consisting different types shots, bowling actions many other activities. Every bowler, cricket, bowls with action. We leverage this point identify bowlers. In paper, we...
Nonlinear iris texture deformations due to pupil size variations are one of the main factors responsible for within-class variance genuine comparison scores in recognition. In dominant approaches recognition, a ring-shaped region is linearly scaled canonical rectangle, used further encoding and matching. However, biological complexity sphincter dilator muscles causes movements features be nonlinear function size, not solely organized along radial paths. Alternatively existing theoretical...
We present the Deception Detection and Physiological Monitoring (DDPM) dataset initial baseline results of deception detection on this dataset. Our application context is an interview scenario in which interviewee attempts to deceive interviewer selected responses. The recorded visible, near-infrared, long-wave infrared light, along with cardiac pulse, blood oxygenation, audio. After collection, data were annotated for interviewer/interviewee, curated, ground-truthed, organized into train /...
J. Dwyer and K. Karim, Chem. Soc., Commun., 1991, 905 DOI: 10.1039/C39910000905
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTA comparison of siliceous faujasitic zeolites produced by direct synthesis or secondary synthesisJ. Dwyer, K. Karim, W. J. Smith, N. E. Thompson, Robin Harris, and David C. ApperleyCite this: Phys. Chem. 1991, 95, 22, 8826–8831Publication Date (Print):October 1, 1991Publication History Published online1 May 2002Published inissue 1 October 1991https://pubs.acs.org/doi/10.1021/j100175a075https://doi.org/10.1021/j100175a075research-articleACS...
With the ubiquitous network connectivity and proliferation of mobile devices, people are increasingly consuming digital contents from social media driven music sharing platforms (e.g., YouTube, Soundcloud). In this paper, we study a novel problem connotation-aware retrieval that focuses on connotation which expresses implicit feeling or emotion beyond explicit content in artworks. Our goal is to automatically retrieve relevant based visual inputs images, photos) provided by users. The...
Synthesis of same-identity biometric iris images, both for existing and non-existing identities while preserving the identity across a wide range pupil sizes, is complex due to intricate muscle constriction mechanism, requiring precise model non-linear texture deformations be embedded into synthesis pipeline. This paper presents first method fully data-driven, identity-preserving, size-varying s ynthesis images. approach capable synthesizing images irises with different sizes representing as...
Recently, recognition of handwritten Bengali letters and digits have captured a lot attention among the researchers AI community. In this work, we propose Convolutional Neural Network (CNN) based object detection model which can recognize evaluate mathematical expressions. This method is able to detect multiple operators locate their positions in image. With that information, it construct numbers from series perform operations on them. For task, state-of-the-art YOLOv3 algorithm was...
With the advances in hardware technologies and deep learning techniques, it has become feasible to apply these techniques diverse fields. Convolutional Neural Network (CNN), an architecture from field of learning, revolutionized Computer Vision. Sports is one avenues which use computer vision thriving. Cricket a complex game consisting different types shots, bowling actions many other activities. Every bowler, cricket, bowls with action. We leverage this point identify bowlers. In paper, we...
Nonlinear iris texture deformations due to pupil size variations are one of the main factors responsible for within-class variance genuine comparison scores in recognition. In dominant approaches recognition, a ring-shaped region is linearly scaled canonical rectangle, used further encoding and matching. However, biological complexity sphincter dilator muscles causes movements features be nonlinear function size, not solely organized along radial paths. Alternatively existing theoretical...
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at glance that was extracted from about 100 leading journals. To access of an article which published elsewhere, please select “Full Text” option. The original trackable via the “References”
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at glance that was extracted from about 100 leading journals. To access of an article which published elsewhere, please select “Full Text” option. The original trackable via the “References”
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at glance that was extracted from about 100 leading journals. To access of an article which published elsewhere, please select “Full Text” option. The original trackable via the “References”