Results 81 to 90 of about 3,911,620 (341)
Epigenetic reprogramming in hematopoietic stem and progenitor cells (HSPCs) and downstream myeloid cells, mediated by H3.3 downregulation and endogenous retroelement (ERE) overexpression, contributes to the progression of multiple sclerosis (MS). ABSTRACT Background Skewed myelopoiesis in the bone marrow has been identified as a key driver of multiple ...
Li‐Mei Xiao +6 more
wiley +1 more source
From Packets to Semantics: Transformer-Driven Privacy-Preserving ETA for OTT App Classification
The rapid adoption of TLS 1.3, QUIC, and Encrypted Client Hello (ECH) has rendered traditional Deep Packet Inspection ineffective, motivating a new generation of encrypted traffic analysis (ETA) methods that operate without decryption.
Aamina Hassan +4 more
doaj +1 more source
Packet Length Spectral Analysis for IoT Flow Classification Using Ensemble Learning
With the proliferation of ubiquitous and autonomous devices for sensing, control, monitoring and conditioning, the Internet of Things (IoT) holds a great potential for the development of innovative applications.
Gennaro Cirillo, Roberto Passerone
doaj +1 more source
Primary User Traffic Classification in Dynamic Spectrum Access Networks
This paper focuses on analytical studies of the primary user (PU) traffic classification problem. Observing that the gamma distribution can represent positively skewed data and exponential distribution (popular in communication networks performance ...
Cabric, Danijela +2 more
core +1 more source
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Detection and Classification of Traffic Anomalies Using Microscopic Traffic Variables
This paper proposes a novel anomaly detection and classification algorithm that combines the spatiotemporal changes in the variability of microscopic traffic variables, namely, relative speed, intervehicle time gap, and lane changing. When applied to real-world scenarios, the proposed algorithm can use the variances of statistics of microscopic traffic
Barria, JA, Thajchayapong, S
openaire +3 more sources
Cellular networks are constantly lagging in terms of the bandwidth needed to support the growing high data rate demands. The system needs to efficiently allocate its frequency spectrum such that the spectrum utilization can be maximized while ensuring ...
Chowdhury, Mostafa Zaman +2 more
core +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning
Encryption is a fundamental security measure to safeguard data during transmission to ensure confidentiality while at the same time posing a great challenge for traditional packet and traffic inspection.
Ibrahim A. Alwhbi +2 more
doaj +1 more source

