Results 91 to 100 of about 12,444 (261)

A Stable Hash Function Based on Parity-Dependent Quantum Walks With Memory (August 2023)

IEEE Transactions on Quantum Engineering
In this article, we develop a generic controlled alternate quantum walk model by combining parity-dependent quantum walks with distinct arbitrary memory lengths and propose a hash function (called QHFM-P) based on this model.
Qing Zhou, Xueming Tang, Songfeng Lu, Hao Yang   +3 more
doaj   +1 more source

VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou, Jingfeng Li, Hao Li, Xiaolei Hou, Jinwen Hu, Jingkun Chen, Lechao Cheng, Dingwen Zhang   +7 more
wiley   +1 more source

MicroCrypt: High-Efficiency Hashing for Next-Generation IoT Devices

Proceedings of the International Conference on Applied Innovations in IT
The Internet of Things (IoT) is growing quickly and connecting more devices than ever before. This has made it more important to improve security protocols, especially cryptographic hash functions that work in places with limited computing, storage, and ...
Shatha H. Jafer Al-Khalisy, Wafaa M. Salih Abedi, Adil M. Salman, Ghada Emad Al-Kateb, Mohammed Aljanabi, Maad M. Mijwil   +5 more
doaj   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source

Addressing Long‐Tailed Drug–Drug Interactions Through Minimisation of Predictive Uncertainty and Loss Sharpness

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Drug–Drug Interaction (DDI) prediction is critical for ensuring patient safety, particularly under long‐tailed distributions, where frequent (head) interactions dominate whereas rare (tail) interactions remain underrepresented. Conventional loss functions such as cross‐entropy often tend to overfit head classes while they underperform on rare ...
Chao Liu, Xizhao Wang, Farhad Pourpanah, Sam Kwong   +3 more
wiley   +1 more source

The Mysterious Stranger and Modern Enchantment

The British Journal of Sociology, EarlyView.
ABSTRACT Sociological accounts of modernity have long emphasized rationalization, alienation, and the attenuation of affective intensity. While these diagnoses capture crucial dynamics of modern social order, they leave underexplored a persistent and generative dimension of social life: enchantment.
Dmitry Kurakin
wiley   +1 more source

Vertical coordination in agri‐food supply chain and blockchain: A proposed framework solution for Vietnamese cashew nut business

Regional Science Policy &Practice, EarlyView., 2022
Abstract The agri‐food supply chain has been a popular research topic in recent years. The combination of a demand for products of high quality and safety standards and the increasing number of stakeholders in supply chain networks has required the agri‐food business to transform from vertically integrated to vertically operated supply chain networks ...
Thanh_Tuan Chu, Thi Thu Tra Pham
wiley   +1 more source

Secure Parallel Image Cryptographic Hash Function Using a Novel 2D High-Randomness Hyperchaotic Map

Mathematics
For image data, the processing of each pixel using a cryptographic hash function is linear, and the existing cryptographic hash function lacks parallel processing of image width and height.
Mingrui Qi, Dongdong Wang
doaj   +1 more source

Adaptive Hashing

CoRR
Hash tables are ubiquitous, and the choice of hash function, which maps a key to a bucket, is key for their performance. We argue that the predominant approach of fixing the hash function for the lifetime of the hash table is suboptimal and propose adapting it to the current set of keys.
openaire   +4 more sources

The effect of nearby listings on house sale prices in Sydney: A spatio‐temporal regularization approach

Real Estate Economics, EarlyView.
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley   +1 more source