A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders
Neuromuscular disorder is a complex progressive health problem which results in muscle
weakness and fatigue. In recent years, with emergence and development of machine learning…
weakness and fatigue. In recent years, with emergence and development of machine learning…
Quantitative characterization of in vitro bystander effect of antibody-drug conjugates
Antibody–drug conjugates (ADCs) are designed to target antigen expressing (Ag+) cells in
a tumor. Once processed by the Ag+ cells, ADCs can release cytotoxic drug molecules that …
a tumor. Once processed by the Ag+ cells, ADCs can release cytotoxic drug molecules that …
[HTML][HTML] Artificial neural network-based deep learning model for COVID-19 patient detection using X-ray chest images
The world is experiencing an unprecedented crisis due to the coronavirus disease (COVID-19)
outbreak that has affected nearly 216 countries and territories across the globe. Since the …
outbreak that has affected nearly 216 countries and territories across the globe. Since the …
Early experience of COVID-19 vaccination in adults with systemic rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance Vaccine Survey
…, M Nudel, CA Palmerlee, JA Singh, N Singh… - RMD open, 2021 - rmdopen.bmj.com
Background We describe the early experiences of adults with systemic rheumatic disease
who received the COVID-19 vaccine. Methods From 2 April to 30 April 2021, we conducted an …
who received the COVID-19 vaccine. Methods From 2 April to 30 April 2021, we conducted an …
Secure and energy-efficient smart building architecture with emerging technology IoT
With the advent of the Internet-of-Things (IoT), it is considered to be one of the latest
innovations that offer interesting opportunities for different vertical industries. One of the most …
innovations that offer interesting opportunities for different vertical industries. One of the most …
Imperative role of integrating digitalization in the firms finance: A technological perspective
Financial management is a critical aspect of firms, and entails the strategic planning, direction,
and control of financial endeavors. Risk assessment, fraud detection, wealth management…
and control of financial endeavors. Risk assessment, fraud detection, wealth management…
Technologies empowered environmental, social, and governance (ESG): An industry 4.0 landscape
Currently, sustainability is a vital aspect for every nation and organization to accomplish
Sustainable Development Goals (SDGs) by 2030. Environmental, social, and governance (ESG) …
Sustainable Development Goals (SDGs) by 2030. Environmental, social, and governance (ESG) …
Pre-trained deep neural network-based features selection supported machine learning for rice leaf disease classification
Rice is a staple food for roughly half of the world’s population. Some farmers prefer rice
cultivation to other crops because rice can thrive in a wide range of environments. Several …
cultivation to other crops because rice can thrive in a wide range of environments. Several …
A transfer learning-based artificial intelligence model for leaf disease assessment
The paddy crop is the most essential and consumable agricultural produce. Leaf disease
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
An overview of variational autoencoders for source separation, finance, and bio-signal applications
A Singh, T Ogunfunmi - Entropy, 2021 - mdpi.com
Autoencoders are a self-supervised learning system where, during training, the output is an
approximation of the input. Typically, autoencoders have three parts: Encoder (which …
approximation of the input. Typically, autoencoders have three parts: Encoder (which …
