Results 211 to 220 of about 276,258 (266)

Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies. [PDF]

Front Big Data
Susanto H, Omar AS, Shafa Susanto AK, Setiana D, Fang-Yie L, Shaikh JM, Insani A, Khusni U, Hidayat R, Akbari I, Basuki I.   +10 more
europepmc   +1 more source

Assessing the Impact of a Red Trauma Simulation on Anesthesia Residents' Confidence, Comfort, and Overnight Call Readiness. [PDF]

Cureus
Wasserman R, Obika B, Doyal AS, Takalo E, Dhandha V.   +4 more
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks. [PDF]

Sensors (Basel)
Ben Chikha H, Alaerjan A, Jabeur R.
europepmc   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

AI-Driven Real-Time Phase Optimization for Energy Harvesting-Enabled Dual-IRS Cooperative NOMA Under Non-Line-of-Sight Conditions. [PDF]

Sensors (Basel)
Al-Ghafri Y, Asif HM, Nadir Z, Tarhuni N.   +3 more
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Spectral-Efficient End-to-End Beamforming for 6G XL-MIMO: Synergizing Channel Sensing and Spatial-Frequency Sparsity with Deep Learning. [PDF]

Sensors (Basel)
Wen Y, Zeng X, Xie X.
europepmc   +1 more source

Disrupting Students' Learning Habitus: A Digitalized University Didactic Setting in Teacher Training

New Directions for Teaching and Learning, EarlyView.
Gudrun Marci‐Boehncke, Matthias O. Rath   +1 more
wiley   +1 more source