Results 81 to 90 of about 333,204 (306)

Exploring the links between corruption and growth [PDF]

Corruption is a widespread phenomenon, but relatively little is confidently known about its macroeconomic consequences. This paper explicitly models the transmission channels through which corruption indirectly affects growth.
Alan Duhs, Andrew Hodge, D.S. Prasada Rao, Sriram Shankar   +3 more
core  

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

The Consequences of Corruption: The Ghanaian Experience

Political Science Quarterly, 1973
Professor Arnold J. Heidenheimer, in his very useful collection of readings on political corruption, notes the tendency of American scholars to discount the dysfunctional impact of corruption both in the United States and abroad.' Henry Jones Ford, writing in 1904, saw political corruption in the United States as a means of overcoming the rigidities of
openaire   +1 more source

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Corruption, Political Competition and Environmental Policy [PDF]

There is a growing literature on the causes and consequences of corruption. A common and often unsubstantiated assertion is that countries which exhibit a low level of political competition are more likely to suffer higher levels of corruption.
John K. Wilson, Richard Damania
core  

Corruption and Decentralization [PDF]

, 1998
This paper studies the effect of decentralization on corruption in a hierarchical organization, where decentralization is intended as the delegation of control power to lower levels in a hierarchy.
Carbonara, Emanuela
core   +3 more sources

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

Public Expenditures, Bureaucratic Corruption and Economic Development [PDF]

This paper presents a dynamic general equilibrium analysis of public sector corruption and economic growth. In an economy with government intervention and capital accumulation, state-appointed bureaucrats are charged with the responsibility for procuring
Keith Blackburn, M. Emranul Haque, Niloy Bose   +2 more
core  

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

SYSTEMS OF CORRUPTION IN UKRAINE: CAUSES AND CONSEQUENCES

, 2021
The article considers theoretical and methodological basis of corruption as a systemic problem. Corruption is analyzed as a complex socio-economic phenomenon, its main types are studied, the main approaches in economic theory to the interpretation of the concept of corruption are systematized, the causes of corrupt economic relations are clarified ...
openaire   +2 more sources