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7,412
result(s) for
"Dutta, Sanjay"
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Human Activity Recognition with Noise-Injected Time-Distributed AlexNet
by
Zwiggelaar, Reyer
,
Dutta, Sanjay
,
Boongoen, Tossapon
in
Adaptive technology
,
AlexNet
,
Classification
2025
This study investigates the integration of biologically inspired noise injection with a time-distributed adaptation of the AlexNet architecture to enhance the performance and robustness of human activity recognition (HAR) systems. It is a critical field in computer vision which involves identifying and interpreting human actions from video sequences and has applications in healthcare, security and smart environments. The proposed model is based on an adaptation of AlexNet, originally developed for static image classification and not inherently suited for modelling temporal sequences for video action classification tasks. While our time-distributed AlexNet efficiently captures spatial and temporal features and suitable for video classification. However, its performance can be limited by overfitting and poor generalisation to unseen scenarios, to address these challenges, Gaussian noise was introduced at the input level during training, inspired by neural mechanisms observed in biological sensory processing to handle variability and uncertainty. Experiments were conducted on the EduNet, UCF50 and UCF101 datasets. The EduNet dataset was specifically designed for educational environments and we evaluate the impact of noise injection on model accuracy, stability and overall performance. The proposed bio-inspired noise-injected time-distributed AlexNet achieved an overall accuracy of 91.40% and an F1 score of 92.77%, outperforming other state-of-the-art models. Hyperparameter tuning, particularly optimising the learning rate, further enhanced model stability, reflected in lower standard deviation values across multiple experimental runs. These findings demonstrate that the strategic combination of noise injection with time-distributed architectures improves generalisation and robustness in HAR, paving the way for resource-efficient and real-world-deployable deep learning systems.
Journal Article
Conformational inhibition of the hepatitis C virus internal ribosome entry site RNA
by
Hermann, Thomas
,
Castaldi, M Paola
,
Dutta, Sanjay
in
Antiviral agents
,
Antiviral Agents - pharmacology
,
Antiviral Agents - therapeutic use
2009
The internal ribosome entry site (IRES), a highly conserved structured element of the hepatitis C virus (HCV) genomic RNA, is an attractive target for antiviral drugs. Here we show that benzimidazole inhibitors of the HCV replicon act by conformational induction of a widened interhelical angle in the IRES subdomain IIa, which facilitates the undocking of subdomain IIb from the ribosome and ultimately leads to inhibition of IRES-driven translation in HCV-infected cells.
Journal Article
Human activity recognition: A review of deep learning‐based methods
by
Zwiggelaar, Reyer
,
Dutta, Sanjay Jyoti
,
Boongoen, Tossapon
in
Accuracy
,
Computer vision
,
Datasets
2025
Human Activity Recognition (HAR) covers methods for automatically identifying human activities from a stream of data. End‐users of HAR methods cover a range of sectors, including health, self‐care, amusement, safety and monitoring. In this survey, the authors provide a thorough overview of deep learning based and detailed analysis of work that was performed between 2018 and 2023 in a variety of fields related to HAR with a focus on device‐free solutions. It also presents the categorisation and taxonomy of the covered publication and an overview of publicly available datasets. To complete this review, the limitations of existing approaches and potential future research directions are discussed. Human Activity Recognition (HAR) covers methods for automatically identifying human activities from a stream of data. End‐users of HAR methods cover a range of sectors, including health, self‐care, amusement, safety and monitoring. In this survey, the authors provide a thorough overview of deep learning based and detailed analysis of work that was performed between 2018 and 2023 in a variety of fields related to HAR with a focus on device‐free solutions. It also presents the categorisation and taxonomy of the covered publication and an overview of publicly available datasets. To complete this review, the limitations of existing approaches and potential future research directions are discussed.
Journal Article
Facial talon cusp on mandibular incisor: A rare case report with review of literature
2014
Talon cusp is a relatively rare developmental dental anomaly thought to arise as a result of evagination on the surface of a tooth crown before calcification has occurred. It is characterized by cusp-like projections from the cingulum area, or cemento-enamel junction of maxillary or mandibular anterior teeth, in both the primary and permanent dentition, usually observed on the lingual surface of the affected tooth. The cusp may or may not contain an extension of the pulp. The etiology remains unknown. The incidence is 0.04-8%. Any tooth may have a talon cusp but most of the cases involve maxillary lateral incisors. The anomaly has been reported to be rare especially when it occurs on mandibular teeth. This article reports a case of talon cusp on permanent mandibular central incisor that too on facial aspect which makes it a rare entity
Journal Article
Dissecting non-small cell lung cancer (NSCLC) with blood proteomics—from surgical to immunotherapeutic responses
2026
NSCLC remains a leading cause of cancer-related mortality, with limited biomarkers to guide surgical and immunotherapeutic intervention. This study leveraged two complementary plasma proteomics platforms, SomaScan (7596 proteins) and NULISA (250 inflammation-related proteins) to profile 87 timepoints from 56 NSCLC patients, collected pre- and post-surgery and pre- and post-ICI therapy. Robust biomarker selection used adaptive Lasso regression and the Stabl algorithm, with inter- and intra-cohort validation via orthogonal nELISA proteomics. Twenty-one differentially detectable plasma proteins were identified across treatment contexts. Surgical resection induced measurable proteomic changes: non-recurrent patients had higher circulating MUC16 and lower IL36G post-surgery, while recurrent patients showed elevated COX7A2L, FGF19, and SPOCK2, alongside lower FCER2, FCRLA, and SLITRK2. Among ICI-treated patients, responders had lower baseline levels of IL-6, CCL19, IL-2RA, CD200R1, CRP, LIF, PDCD1, CCL7, and SPP1, implicating systemic inflammation and immune regulation in treatment sensitivity. CEACAM5, PTX3, FGF23, and AREG were elevated in patients with worse clinical outcomes and poorer overall survival. MUC16, IL36G, CCL19, and IL-6 were independently validated by nELISA. Cross-platform comparison highlighted the complementary strengths of SomaScan's broad proteomic coverage and NULISA's sensitivity for low-abundance proteins. This integrated approach reveals distinct plasma signatures associated with surgical recurrence, ICI response, and prognosis in NSCLC.
Journal Article
What the Library and Information Professional Can Learn from the Information Technology and Project Management Knowledge Areas
by
Cortez, Edwin M
,
Kazlauskas, Edward John
,
Dutta, Sanjay K
in
Classification
,
Competence
,
Computers
2004
There are various forces driving change in the knowledge and skills areas for information professionals: 1) technologies, 2) changing environments, and 3) the changing role of information technology management. These forces affect all levels of information technology-based professionals--those responsible for information processing and those responsible for information services. This paper discusses and reviews the pertinent literature that deals with the competencies needed of information technology (IT) professionals, covering both general and project management knowledge and skills. Discussion follows relating this review to the library and information studies (LIS) field. The analysis leads to a composite picture, presented in a classification framework, of the competencies and skills needed of the new LIS professional.
Journal Article
Attitude of Indian dental professionals toward scientific publications: A questionnaire based study
by
Verma, Pradhuman
,
Khosa, Rameen
,
Basavraju, Suman
in
Attitudes
,
Awards & honors
,
Co authorship
2015
Background: Due to competitiveness and academic benefits, most dental professionals feel an urgent need to increase their publications. Hence, we explored the attitude of students and faculty members toward scientific publications through a questionnaire. Materials and Methods: A questionnaire consisting of 13 questions was sent by e-mails and posting the printed copies to dental postgraduate (PG) students (second and third year) and faculty members (n = 500 each). The returned completed questionnaires were analyzed. Results: About 37% of dental PG faculty and 35.6% PG students responded to the questionnaire, with overall response of 72.6%. Among the PG faculty, professors (P) had more scientific publications, followed by senior lecturers (SL) and readers (R). The publications as first or corresponding author were less among both faculty and PG students while co-authorship was more among PG students compared to faculty members. Awareness about the term \"plagiarism\" was overall high and relatively highest among R, followed by SL, P and PG students. The percentage of publications in fee charging journals was more among PG students than faculty members and self-funding for publication was observed in 86.4% of PG students and 94-100% among faculty members. Conclusion: About 72.6% of dental professionals were involved in publishing of their research work and the number of publications increased steadily with an increase in their academic experience. All the dental professionals concurred publications as the criteria for academic excellence.
Journal Article
Conformational inhibition of the HCV IRES RNA
2009
The internal ribosome entry site (IRES), a highly conserved structured element of the hepatitis C virus genomic RNA, is an attractive target for antiviral drugs. Here we show that benzimidazole inhibitors of the HCV replicon act by conformational induction of a widened interhelical angle in the IRES subdomain IIa which facilitates the undocking of subdomain IIb from the ribosome and ultimately leads to inhibition of IRES-driven translation in HCV-infected cells.
Journal Article