Systematic Review of Artificial Intelligence Techniques for Blood Glucose Predicting in Diabetes

Mohammed Alotaibi,Osama Moh’d Alia

#Artificial intelligence #blood glucose prediction #deep learning #diabetes management #hypoglycemia prediction #hyperglycemia prediction #machine learning

Enhanced IIoT Security: A Hybrid Intrusion Detection Framework Using Signature-Based and Deep Learning Approaches

Komal Bansal,Anita Singhrova

#Deep learning #machine learning #information security #anomaly detection #IIDS #IIoT #GRU #GHA #SOA

Veerender Aerranagula,Raju Bhukya

#Bowel disease #crohn’s disease #machine learning

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks

Daphne Samuel,Mary Anita Rajam

#Deep learning #ensemble model #natural language processing #MIMIC-IV #regression #big query

Wenzhong Jin,Shanjun Wu,Yu Feng,Huijing Wang,Chunyu Fu

#Artificial intelligence #intelligent healthcare system #sustainable development #big data #healthcare #5G communication #information safety #security

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression

Mahmoud Al Shareeda, Ayman Khalil, and Walid Fahs

#Vehicular model # RSU # genetic algorithm # optimization

with Genetic Algorithm

#Sentiment analysis # Hindi language # multilingual # deep learning # gated recurrent unit # genetic algorithm

Neziha Jaouedi,Noureddine Boujnah,Mohamed Bouhlel

#Deep learning #recurrent neural networks #gated recurrent unit #video classification #convolutional neural network #behavior modelling #activity recognition

the Wild

#Face recognition # labelled faces in the wild # unconstrained facial images

Learning Approaches, Muhammad Adnan Ashraf, Qiao Ya-nan

#Language variety identification # deep learning # transfer learning # binary classification