Suchergebnisse - "Asadullah Shaikh"

ArsenicNet: An efficient way of arsenic skin disease detection using enriched fusion Xception model.

Autoren: Mehedi, Md Humaion Kabir Nafis, Kh. Fardin Zubair Charu, Krity Haque et al.

Quelle: PLoS ONE; 5/30/2025, Vol. 20 Issue 5, p1-21, 21p

Schlagwörter: DEEP learning, EARLY diagnosis, DATA augmentation, ARSENIC, SKIN diseases, DRINKING water

Weakly-supervised explainable infection severity classification from chest CT scans.

Autoren: Almakky, Ibrahim Yaqub, Mohammad

Quelle: PLoS ONE; 10/30/2025, Vol. 20 Issue 10, p1-17, 17p

Schlagwörter: COVID-19, LUNG infections, COMPUTER-aided diagnosis, ARTIFICIAL intelligence, COMPUTED tomography, SUPERVISED learning, MEDICAL care, SEVERITY of illness index

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.

Autoren: Hassan, Fayaz Syed, Zafi Sherhan Memon, Aftab Ahmed et al.

Quelle: PLoS ONE; 2/6/2025, Vol. 20 Issue 2, p1-18, 18p

Schlagwörter: FEATURE selection, DEEP learning, PRINCIPAL components analysis, MACHINE learning, INTRUSION detection systems (Computer security), TRAINING needs

Impact of Social Networking Sites on Personality & Attitude of Young Adults (Research covering the young adults? lives within Korangi, Karachi)

Autoren: Soobia Saeed Asadullah Shaikh Muhammad Ali Memon

Quelle: International Research Journal of Arts & Humanities (IRJAH); Vol. 46 (2018): International Research Journal of Arts & Humanities (IRJAH) ; 1016-9342

Schlagwörter: social networking sites, young adults, personality, attitude

Dateibeschreibung: application/pdf

Relation: https://sujo.usindh.edu.pk/index.php/IRJAH/article/view/816/621; https://sujo.usindh.edu.pk/index.php/IRJAH/article/view/816

Verfügbarkeit: https://sujo.usindh.edu.pk/index.php/IRJAH/article/view/816

An AI-powered smart Agribot for detecting locusts in farmlands using IoT and deep learning.

Autoren: Al Reshan, Mana Saleh Rahman, Wahidur Mia, Shisir et al.

Quelle: Scientific Reports; 11/13/2025, Vol. 15 Issue 1, p1-27, 27p

Change in address in electronic health records as an early marker of homelessness.

Autoren: Song, Janet Deng, Yu Yang, Yuyang et al.

Quelle: PLoS ONE; 3/10/2025, Vol. 20 Issue 3, p1-16, 16p

Schlagwörter: HOUSING stability, HEALTH policy, ELECTRONIC health records, PSYCHIATRIC diagnosis, HOMELESSNESS

An optimized transformer model for efficient detection of thoracic diseases in chest X-rays with multi-scale feature fusion.

Autoren: Yu, Shasha Zhou, Peng

Quelle: PLoS ONE; 5/7/2025, Vol. 20 Issue 5, p1-15, 15p

Schlagwörter: MULTISCALE modeling, DIAGNOSTIC imaging, CHEST X rays, RADIOLOGISTS, HOSPITALS, X-rays

Development of novel optical character recognition system to reduce recording time for vital signs and prescriptions: A simulation-based study.

Autoren: Soeno, Shoko Liu, Keibun Watanabe, Shiruku et al.

Quelle: PLoS ONE; 1/19/2024, Vol. 19 Issue 1, p1-11, 11p

Schlagwörter: OPTICAL character recognition, VITAL signs, VITAL records (Births, deaths, etc.), MEDICAL prescriptions, ERROR rates, FIRE departments

Geografische Kategorien: JAPAN

Implementation of Failure Enterprise Systems in Organizational Perspective Framework

Autoren: Soobia Saeed Asadullah Shaikh Muhammad Ali Memon et al.

Schlagwörter: VDCL, ERP, Implementation, projects, failure

Relation: http://dx.doi.org/10.14569/IJACSA.2017.080508

Verfügbarkeit: https://doi.org/10.14569/IJACSA.2017.080508

Deep transfer learning-based bird species classification using mel spectrogram images.

Autoren: Baowaly, Mrinal Kanti Sarkar, Bisnu Chandra Walid, Md. Abul Ala et al.

Quelle: PLoS ONE; 8/12/2024, Vol. 19 Issue 8, p1-16, 16p

Schlagwörter: BIRD classification, RECURRENT neural networks, HABITAT modification, ENVIRONMENTAL monitoring, DEEP learning

Automatic Classification of Monosyllabic and Multisyllabic Birds Using PDHF

Autoren: Abdullah Alghamdi Tooba Mehtab Rizwan Iqbal et al.

Quelle: Electronics, Vol 10, Iss 5, p 624 (2021)

Schlagwörter: feature engineering, classification, artificial neural network, machine learning, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/10/5/624; https://doaj.org/toc/2079-9292; https://doaj.org/article/081b5c1be44f41529cc7088013d5b8d9

Verfügbarkeit: https://doi.org/10.3390/electronics10050624
https://doaj.org/article/081b5c1be44f41529cc7088013d5b8d9

Ternion: An Autonomous Model for Fake News Detection

Autoren: Noman Islam Asadullah Shaikh Asma Qaiser et al.

Quelle: Applied Sciences, Vol 11, Iss 9292, p 9292 (2021)

Schlagwörter: fake news detection, natural language processing, machine learning, stance detection, social media, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/19/9292; https://doaj.org/toc/2076-3417; https://doaj.org/article/223a1da106c94dafbf4a3224d0be7c60

Verfügbarkeit: https://doi.org/10.3390/app11199292
https://doaj.org/article/223a1da106c94dafbf4a3224d0be7c60

Research Challenges and Opportunities Towards a Holistic View of Telemedicine Systems: A Systematic Review

Autoren: Hani Alshahrani Asadullah Shaikh Yousef Asiri et al.

Quelle: Studies in Fuzziness and Soft Computing ISBN: 9783030701109

Schlagwörter: 3. Good health

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-030-70111-6_1

Genre-aware user profiling using duration count matrices: A novel approach to enhancing content recommendation systems.

Autoren: Alqazzaz, Ali Anwar, Zunaira Hassan, Mahmood ul et al.

Quelle: PLoS ONE; 4/1/2025, Vol. 20 Issue 4, p1-36, 36p

Schlagwörter: INTERNET content, USER experience, RECOMMENDER systems, TELECOMMUNICATION, GENERALIZATION, FORECASTING

UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions.

Autoren: Adil, Muhammad Song, Houbing Jan, Mian Ahmad et al.

Quelle: ACM Computing Surveys; Oct2024, Vol. 56 Issue 10, p1-35, 35p

Schlagwörter: LANGUAGE models, ARTIFICIAL intelligence, AGRICULTURAL drones, CARRIER sense multiple access, DEEP reinforcement learning, DEEP learning, AD hoc computer networks

Ternion: An Autonomous Model for Fake News Detection.

Autoren: Islam, Noman Shaikh, Asadullah Qaiser, Asma et al.

Quelle: Applied Sciences (2076-3417); Oct2021, Vol. 11 Issue 19, p9292, 15p

Schlagwörter: FAKE news, SOCIAL media, NATURAL language processing, SUPPORT vector machines, RANDOM forest algorithms, ALGORITHMS

GAN-AVI: facial expression translator in Twitter avatar analogous to tweet sentiments.

Autoren: Devi, Kunada Dhana Sree Muppavaram, Kireet Atheeq, Choudapur et al.

Quelle: Scientific Reports; 10/16/2025, Vol. 15 Issue 1, p1-17, 17p

Schlagwörter: GENERATIVE adversarial networks, FACIAL expression, ETHICAL problems, DEEP learning, SELF-perception, SENTIMENT analysis

FALS-YOLO: An Efficient and Lightweight Method for Automatic Brain Tumor Detection and Segmentation.

Autoren: Sun, Liyan Zheng, Linxuan Xin, Yi

Quelle: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p5993, 26p

Schlagwörter: BRAIN tumors, IMAGE segmentation, DETECTION algorithms, IMAGE processing, MAGNETIC resonance imaging, OBJECT recognition (Computer vision), MACHINE learning

Optimizing skin cancer screening with convolutional neural networks in smart healthcare systems.

Autoren: Raza, Ali Ali, Akhtar Ullah, Sami et al.

Quelle: PLoS ONE; 3/25/2025, Vol. 20 Issue 3, p1-37, 37p

Schlagwörter: CONVOLUTIONAL neural networks, MEDICAL personnel, SKIN cancer, EARLY detection of cancer, TUMOR classification

Enhancing semantic segmentation in chest X-ray images through image preprocessing: ps-KDE for pixel-wise substitution by kernel density estimation.

Autoren: Wang, Yuanchen Guo, Yujie Wang, Ziqi et al.

Quelle: PLoS ONE; 6/24/2024, Vol. 19 Issue 6, p1-17, 17p

Schlagwörter: PROBABILITY density function, X-ray imaging, MACHINE learning, LUNGS, DEEP learning, NOSOLOGY