Robotic wireless capsule endoscopy: recent advances and upcoming technologies

Q Cao, R Deng, Y Pan, R Liu, Y Chen, G Gong… - Nature …, 2024 - nature.com
Wireless capsule endoscopy (WCE) offers a non-invasive evaluation of the digestive system,
eliminating the need for sedation and the risks associated with conventional endoscopic …

Magnetically actuated capsule robots: A review

W Chen, J Sui, C Wang - IEEE Access, 2022 - ieeexplore.ieee.org
Capsule endoscopy is a procedure that uses a tiny wireless camera inside a capsule
endoscope to capture pictures of the patient's gastrointestinal tract for diagnosis …

[HTML][HTML] An effective method for lung cancer diagnosis from ct scan using deep learning-based support vector network

I Shafi, S Din, A Khan, IDLT Díez, RJP Casanova… - Cancers, 2022 - mdpi.com
Simple Summary This study provides an efficient method for lung cancer diagnosis from
computed tomography images and employs deep learning-supported support vector …

Predicting household electric power consumption using multi-step time series with convolutional LSTM

L Cascone, S Sadiq, S Ullah, S Mirjalili, HUR Siddiqui… - Big Data Research, 2023 - Elsevier
Energy consumption prediction has become an integral part of a smart and sustainable
environment. With future demand forecasts, energy production and distribution can be …

Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning

R Shafique, F Rustam, GS Choi, IT Díez, A Mahmood… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

V Rupapara, F Rustam, W Aljedaani, HF Shahzad… - Scientific reports, 2022 - nature.com
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …

[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI

MF Ahamed, M Nahiduzzaman, MR Islam… - Expert Systems with …, 2024 - Elsevier
The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …

Classification and analysis of android malware images using feature fusion technique

J Singh, D Thakur, T Gera, B Shah, T Abuhmed… - IEEE …, 2021 - ieeexplore.ieee.org
The super packed functionalities and artificial intelligence (AI)-powered applications have
made the Android operating system a big player in the market. Android smartphones have …

Advances in machine learning processing of big data from disease diagnosis sensors

S Lu, J Yang, Y Gu, D He, H Wu, W Sun, D Xu, C Li… - ACS …, 2024 - ACS Publications
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …

Malware detection using image representation of malware data and transfer learning

F Rustam, I Ashraf, AD Jurcut, AK Bashir… - Journal of Parallel and …, 2023 - Elsevier
With the increased proliferation of internet-enabled mobile devices and large internet use,
cybercrime incidents have grown exponentially, often leading to huge financial losses. Most …