Multi-Objective Feature Selection for Intrusion Detection Systems: A Comparative Analysis of Bio-Inspired Optimization Algorithms. [PDF]
Sezgin A, Ulaş M, Boyacı A.
europepmc +1 more source
A Study of Security Rule Management for Misuse Intrusion Detection Systems using Mobile Agent
Taehoon Kim +2 more
openalex +2 more sources
Objective We aimed to test the efficacy of personalized treatment of older Veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABC) as compared with usual care (UC). Methods Two hundred ninety‐nine Veterans age 65‐89 with CLBP from 3 VA medical centers underwent baseline testing, randomization to ABC or UC and 12 months follow ...
Debra K. Weiner +9 more
wiley +1 more source
Enhanced intrusion detection system IoT network security model by feed forward neural network and machine learning. [PDF]
Alashjaee AM, Alqahtani F.
europepmc +1 more source
LIN28B Promotes Cancer Cell Dissemination and Angiogenesis
Children diagnosed with high‐risk neuroblastoma have a 5‐year event‐free survival rate of less than 50% and poor outcomes after recurrence. Deregulation of the LIN28B oncogene can be addressed in these patients. Upregulation of LIN28B is shown to support the metastatic cascade.
Diana Corallo +8 more
wiley +1 more source
Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning. [PDF]
Prasad A +5 more
europepmc +1 more source
Adaptive Intrusion Detection Algorithm based on Artificial Immune System
Kwee-Bo Sim, Jaewon Yang
openalex +2 more sources
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins +2 more
wiley +1 more source
Adaptive personalized federated learning with lightweight depthwise convolutional bottleneck network for novel intrusion detection system in internet of vehicles. [PDF]
Almansour S +5 more
europepmc +1 more source
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed +3 more
wiley +1 more source

