Efficient traffic management with adaptive SDN in vehicular networks. [PDF]
Rajan SJ +8 more
europepmc +1 more source
Towards the Design of Efficient and Secure Architecture for Software-Defined Vehicular Networks. [PDF]
Adnan M +6 more
europepmc +1 more source
A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing +10 more
wiley +1 more source
Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]
Liu Q, Ma Y.
europepmc +1 more source
QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing. [PDF]
Syed SA +8 more
europepmc +1 more source
This study proposes a function‐sharing anode design to enable nonmetallic lithium insertion while maintaining intimate interfacial contact with the solid‐state electrolyte. A combination of lithium‐compatible and conformable borohydrides, highly conformable indium metal, less‐graphitized acetylene black, and a layer of highly graphitized massive ...
Keita Kurigami +3 more
wiley +1 more source
An intelligent IDS using bagging based fuzzy CNN for secured communication in vehicular networks. [PDF]
Anand M, Muthurajkumar S.
europepmc +1 more source
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks. [PDF]
Mehedi ST, Anwar A, Rahman Z, Ahmed K.
europepmc +1 more source
Tailoring the morphology of MoS2 using RF Magnetron Sputtering for Enhanced Photoelectrochemical Water Splitting. ABSTRACT 2D molybdenum disulfide (MoS2) is a promising material for optoelectronic and photoelectrochemical (PEC) applications due to its unique properties.
Somnath Ladhane +9 more
wiley +1 more source
Detecting Malicious Anomalies in Heavy-Duty Vehicular Networks Using Long Short-Term Memory Models. [PDF]
Potvin MJ, Leblanc SP.
europepmc +1 more source

