Results 101 to 110 of about 3,253,900 (166)
Starting with MRI data acquisition, it presents the core steps and outputs of visual scoring, traditional machine learning, and deep learning along three evolving paths, and integrates them into the clinical application direction, illustrating the technological evolution from qualitative description to precise prediction.
Chaofang Lei, Jiaxu Chen, Yilong Wang
wiley +1 more source
Mining Local Patterns from Fuzzy Temporal Data
Mining patterns from datasets having fuzzy time attributes is an important data mining problem. Some of these mining task are finding locally frequent sets, local association rules etc Most of the earlier works were mainly devoted on mining non-fuzzy ...
Mazarbhuiya, F. A. (Fokrul)
core
Predictive modeling for early diagnosis of dementia using sequential data analysis and data mining. [PDF]
G SK, R D.
europepmc +1 more source
ABSTRACTThis work presents a privacy‐preserving remote healthcare system that integrates blockchain technology with a root seed‐based pseudonymization mechanism and lightweight cryptographic controls. Addressing the privacy risks of public ledgers and the limited computational resources of medical IoT devices, the proposed system focuses strictly on ...
Hoc Minh Le, Özgür Öksüz
wiley +1 more source
Optimal Selection of Biodegradable Polymer Composites for Load-Bearing Bone Tissue Engineering: A Hybrid Fuzzy AHP-TOPSIS Framework with Sensitivity-Based Robustness Analysis. [PDF]
Hamidat L, Uzun Ozsahin D, Uzun B.
europepmc +1 more source
A Nadam‐optimized Bi‐LSTM framework integrates multi‐level student and institutional data to predict academic performance with 92.5% accuracy. The approach captures bidirectional temporal patterns and enables scalable, data‐driven early warning systems and targeted interventions in higher education. ABSTRACT Student performance prediction is a critical
Sudhindra B. Deshpande +5 more
wiley +1 more source
Rapid construction and analysis of cascading events for disaster investigation and assessment. [PDF]
Zhao Z, Zhu Y, Li J, Han W, Hua W, Li Y.
europepmc +1 more source
ABSTRACT This study presents a comprehensive methodology for processing multilingual customer support data to prepare it for training AI‐based conversational systems. Using a dataset of 36,599 unique customer interactions from a Finnish energy company, we employed language‐specific BERT models to identify and analyse thematic patterns within customer ...
Joona Mäntyvaara +2 more
wiley +1 more source
GridCL for fine-grained load profiling in smart grids under limited labels. [PDF]
Zhang L +8 more
europepmc +1 more source
Evaluating the Impact of Aggregation Operators on Fuzzy Signatures for Robot Path Planning. [PDF]
Karadeniz AM +3 more
europepmc +1 more source

