Results 171 to 180 of about 95,792 (317)
ABSTRACT Despite the universal acknowledgment of financial profit expectations as an investment driver, environmental concern has been suggested as a factor influencing investors' decisions to purchase cryptocurrency. In this sense, this study investigates the impact of environmental information on investment allocation decisions to purchase different ...
Moritz Wendl +2 more
wiley +1 more source
Blind Rendezvous Distributed Hash Table for Anonymous Peer Discovery
Venkata Rao Dechiraju
openalex +2 more sources
A chaotic parallel hash engine with dynamic stochastic diffusion for blockchain and cloud security. [PDF]
Wang Q +5 more
europepmc +1 more source
We present vital life‐history and demographic data including the oceanic stage duration, timing of ontogenetic habitat shifts, and multi‐year foraging patterns of eastern North Pacific green sea turtles found in Southern California. The findings were obtained by analyzing sea turtle bones (age and growth via skeletochronology; and habitat and diet via ...
Calandra N. Turner Tomaszewicz +4 more
wiley +1 more source
A scalable post quantum secure blockchain framework with adaptive time consensus in cloud environments. [PDF]
Velmurugan M, Kumar MR.
europepmc +1 more source
Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi +2 more
wiley +1 more source
Blockchain-based cryptographic framework for secure data transmission in IoT edge environments using ECaps-Net. [PDF]
Mohamed Meerasha I +3 more
europepmc +1 more source
Improving the Throughput of Distributed Hash Tables Using Congestion-Aware Routing [PDF]
Fabius Klemm +3 more
openalex
Routing performance of structured overlay in Distributed Hash Tables (DHT) for P2P
Rafiza Ruslan +5 more
openalex +2 more sources
This study develops a deep adversarial reinforcement learning framework for dynamic technology transfer risk assessment. The research outcome DAGAN‐MORL has a misjudgment rate 6.3%, a delay of 1.8 h, and a profit error of 7.9%, leading at the industrial level, providing intelligent support for university‐enterprise collaborative innovation. ABSTRACT As
Guojun Wang
wiley +1 more source

