Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Awais Khan JUMANİ"'
Hybrid Transformer-EfficientNet Model for Robust Human Activity Recognition: The BiTransAct Approach
Publikováno v:
IEEE Access, Vol 12, Pp 184517-184528 (2024)
Human Activity Recognition (HAR) has been employed in a number of applications including sports analytic, healthcare monitoring, surveillance, and human-computer interaction. Despite a decade of research on HAR, existing models still find it challeng
Externí odkaz:
https://doaj.org/article/c7c93c8d4f87460a8869f087d1e3831f
Autor:
Asif Ali Laghari, Awais Khan Jumani, Rashid Ali Laghari, Hang Li, Shahid Karim, Abudllah Ayub Khan
Publikováno v:
Cognitive Robotics, Vol 4, Iss , Pp 128-141 (2024)
Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years, with a wide range of applications in areas such as surveying, delivery, and security. UAV technology plays an important role in human life. Integrating Artificial Intel
Externí odkaz:
https://doaj.org/article/0ccac94a8924441f881426a3321dea34
Autor:
Zaineb M. Alhakeem, Heba Hakim, Ola A. Hasan, Asif Ali Laghari, Awais Khan Jumani, Mohammed Nabil Jasm
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 7, Iss 3, Pp 217-230 (2023)
Over the past 20 years, there has been a surge of diabetes cases in Iraq. Blood tests administered in the absence of professional medical judgment have allowed for the early detection of diabetes, which will fasten disease detection and lower medical
Externí odkaz:
https://doaj.org/article/85dc80c872af4cd2bc178bc64276691a
Publikováno v:
Cognitive Robotics, Vol 3, Iss , Pp 8-22 (2023)
The lightweight Unmanned Aerial Vehicle (UAV) flight activities are constrained, particularly in the UAV range or activity span and perseverance, by the strategic correspondence link capabilities. This paper tends to the different overlap issue of tr
Externí odkaz:
https://doaj.org/article/1fb40245192b4af2bf6d8f18f6b77de0
Publikováno v:
International Journal of e-Collaboration. 19:1-19
The main problem for the big data for an e-commerce site is getting a meaningful data analysis, which the big descriptive statistics consider the most crucial usage. The collection, segmentation, and analysis of customer insights are critical to deve
Autor:
Abdul Ahad ABRO, Waqas Ahmed SIDDIQUE, Mir Sajjad Hussain TALPUR, Awais Khan JUMANİ, Erkan YAŞAR
Publikováno v:
Volume: 7, Issue: 1 25-32
Turkish Journal of Engineering
Turkish Journal of Engineering
The ensemble learning method is considered a meaningful yet challenging task. To enhance the performance of binary classification and predictive analysis, this paper proposes an effective ensemble learning approach by applying multiple models to prod
Autor:
Abdul Ahad ABRO, Mir Sajjad Hussain TALPUR, Awais Khan JUMANİ, Waqas Ahmed SIDDIQUE, Erkan YAŞAR
Publikováno v:
Volume: 18, Issue: 3 257-263
Celal Bayar Üniversitesi Fen Bilimleri Dergisi
Celal Bayar University Journal of Science
Celal Bayar Üniversitesi Fen Bilimleri Dergisi
Celal Bayar University Journal of Science
Machine learning (ML) is a prominent and extensively researched field in the artificial intelligence area which assists to strengthen the accomplishment of classification. In this study, the main idea is to provide the classification and analysis of
Autor:
C. B. Sivaparthipan, Lydia J. Gnanasigamani, Ruchi Agrawal, Bakri Hossain Awaji, P. Sathyaprakash, Mustafa Musa Jaber, Awais Khan Jumani
Publikováno v:
Journal of Combinatorial Optimization. 45
Publikováno v:
SECURITY AND PRIVACY.
Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation
Autor:
E. Poornima, BalaAnand Muthu, Ruchi Agrawal, S. Pradeep Kumar, Mallika Dhingra, Renas Rajab Asaad, Awais Khan Jumani
Publikováno v:
Multimedia Tools and Applications.