Exploring the promising potential of induced pluripotent stem cells in cancer research and therapy
M Chehelgerdi, F Behdarvand Dehkordi… - Molecular Cancer, 2023 - Springer
The advent of iPSCs has brought about a significant transformation in stem cell research,
opening up promising avenues for advancing cancer treatment. The formation of cancer is a …
opening up promising avenues for advancing cancer treatment. The formation of cancer is a …
Skin cancer detection using deep learning—a review
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
Malware detection using deep learning and correlation-based feature selection
Malware is one of the most frequent cyberattacks, with its prevalence growing daily across
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …
Multi-class skin cancer classification using vision transformer networks and convolutional neural network-based pre-trained models
Skin cancer, particularly melanoma, has been recognized as one of the most lethal forms of
cancer. Detecting and diagnosing skin lesions accurately can be challenging due to the …
cancer. Detecting and diagnosing skin lesions accurately can be challenging due to the …
[HTML][HTML] A novel hybrid Extreme Learning Machine and Teaching–Learning-Based Optimization algorithm for skin cancer detection
N Priyadharshini, N Selvanathan, B Hemalatha… - Healthcare …, 2023 - Elsevier
Skin cancers, such as melanoma, can be difficult to spot in their early stages because they
often resemble benign moles. Early detection of melanoma is crucial as it increases the …
often resemble benign moles. Early detection of melanoma is crucial as it increases the …
Artificial intelligence & clinical nutrition: What the future might have in store
Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the
potential to revolutionise clinical nutrition. AI can assist in analysing complex data …
potential to revolutionise clinical nutrition. AI can assist in analysing complex data …
The channel WDM system incorporates of Optical Wireless Communication (OWC) hybrid MDM-PDM for higher capacity (LEO-GEO) inter satellite link
MM Abdulwahid, S Kurnaz - Optik, 2023 - Elsevier
The rising demand for exponential growth in data rate and effectiveness of satellite
communication systems has drawn the attention of several researchers recently. The Inter …
communication systems has drawn the attention of several researchers recently. The Inter …
Integration of novel uncertainty model construction of green supply chain management for small and medium-sized enterprises using artificial intelligence
B Liu - Optik, 2023 - Elsevier
In this paper to promote the coordinated growth of the economy and the environment, green
supply chain management requires businesses to pay attention to environmental protection …
supply chain management requires businesses to pay attention to environmental protection …
A hybrid cracked tiers detection system based on adaptive correlation features selection and deep belief neural networks
Tire defects are crucial for safe driving. Specialized experts or expensive tools such as
stereo depth cameras and depth gages are usually used to investigate these defects. In …
stereo depth cameras and depth gages are usually used to investigate these defects. In …
A novel network level fusion architecture of proposed self-attention and vision transformer models for land use and land cover classification from remote sensing …
Convolutional neural networks (CNNs), in particular, demonstrate the remarkable power of
feature learning in remote sensing for land use and cover classification, as demonstrated by …
feature learning in remote sensing for land use and cover classification, as demonstrated by …