Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions

AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

[HTML][HTML] Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review

T Mazhar, HM Irfan, I Haq, I Ullah, M Ashraf, TA Shloul… - Electronics, 2023 - mdpi.com
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

[HTML][HTML] Yoga meets intelligent internet of things: recent challenges and future directions

R Pal, D Adhikari, MBB Heyat, I Ullah, Z You - Bioengineering, 2023 - mdpi.com
The physical and mental health of people can be enhanced through yoga, an excellent form
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …

[HTML][HTML] The role of ML, AI and 5G technology in smart energy and smart building management

T Mazhar, MA Malik, I Haq, I Rozeela, I Ullah, MA Khan… - Electronics, 2022 - mdpi.com
With the help of machine learning, many tasks can be automated. The use of computers and
mobile devices in “intelligent” buildings may make tasks such as controlling the indoor …

[Retracted] An AI‐Driven Hybrid Framework for Intrusion Detection in IoT‐Enabled E‐Health

F Wahab, Y Zhao, D Javeed… - Computational …, 2022 - Wiley Online Library
E‐health has grown into a billion‐dollar industry in the last decade. Its device's high
throughput makes it an obvious target for cyberattacks, and these environments desperately …

LSTM-based distributed conditional generative adversarial network for data-driven 5G-enabled maritime UAV communications

I Rasheed, M Asif, A Ihsan, WU Khan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important
applications of 5G wireless network which requires minimum latency and higher reliability to …

[HTML][HTML] COVID-19 vaccines related user's response categorization using machine learning techniques

A Shahzad, B Zafar, N Ali, U Jamil, AJ Alghadhban… - Computation, 2022 - mdpi.com
Respiratory viruses known as coronaviruses infect people and cause death. The multiple
crown-like spikes on the virus's surface give them the name “corona”. The pandemic has …

[HTML][HTML] Quality of service (QoS) performance analysis in a traffic engineering model for next-generation wireless sensor networks

T Mazhar, MA Malik, SAH Mohsan, Y Li, I Haq… - Symmetry, 2023 - mdpi.com
Quality of Service (QoS) refers to techniques that function on a network to dependably
execute high-priority applications and traffic reliably run high-priority applications and traffic …

[Retracted] Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach

AB Tufail, I Ullah, R Khan, L Ali… - Mobile Information …, 2021 - Wiley Online Library
There is a growing demand for the detection of endangered plant species through machine
learning approaches. Ziziphus lotus is an endangered deciduous plant species in the …

[HTML][HTML] Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT)

D Gupta, S Juneja, A Nauman, Y Hamid, I Ullah, T Kim… - Electronics, 2022 - mdpi.com
With the growing cost of electrical energy, the necessity of energy-saving implementation in
industries based on energy audits has become a major focus area. Energy audit results …