Results 31 to 40 of about 5,256,178 (300)

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

World Corruption Perception Index Analysis [PDF]

open access: yes, 2018
Although corruption is measured and defined by different institutions yet there is no agreement on one perfect definition. In this study attempt to analyze the results of corruption index using the definition and the index of Transparency International ...
Al Qudah, Anas   +2 more
core   +1 more source

Non‐Line‐of‐Sight Passive Ammonia Sensor Loaded With MXene/In2O3 Composites for Agricultural Products Quality Deterioration Detection

open access: yesAdvanced Science, EarlyView.
This study presents a flexible, battery‐free passive RFID sensing platform for NLoS monitoring of quality deterioration in fresh agricultural products. It utilizes a structurally decoupled spiral antenna‐LC electrode architecture to suppress electromagnetic interference caused by packaging.
Guoping Hu   +4 more
wiley   +1 more source

Corruption Cases Mapping Based on Indonesia’s Corruption Perception Index

open access: yesJournal of Physics: Conference Series, 2017
Government plays an important role in nation economic growth. Nevertheless, there are still many occurrences of government officers abusing their offices to do an act of corruption. In this order, the central government should pay attention to every area in the nation to avoid corruption case.
null Noerlina   +4 more
openaire   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

Panel Data Analysis on the Socio-Economic Determinants of Corruption in the D-8 Countries

open access: yesİstanbul Üniversitesi Sosyoloji Dergisi, 2022
The phenomenon of corruption is a problem which has high negative externalities at the economic, sociological, and global levels. Throughout history, corruption has expressed itself differently but has been present in nearly every society.
Fatih Karasaç, Halil Kete
doaj   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

open access: yesAdvanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

RANKING ECONOMIES BY CORRUPTION AND TECHNOLOGY TRANSFER ON FOREIGN DIRECT INVESTMENT BASIS [PDF]

open access: yesAnnals of the University of Oradea: Economic Science, 2019
The paper aims, for 2008-2018, a case study regarding the ranking of the European Union countries (Eastern Europe) by two indicators: corruption in the public sector and intensity of the technology transfer associated to the Foreign Direct Investment ...
MARDIROS Daniela   +2 more
doaj  

CAPITALISM: ITS VARIETIES AND RELATIONSHIP WITH THE CORRUPTION PERCEPTIONS INDEX

open access: yesEkonomika, 2014
Given the current economic crisis and increasing competition both for foreign investment and in international markets, we think that this economic analysis is timely and useful as the corruption level is a significant factor in the investment decision-making process.
Šečkutė, Vaiva   +2 more
openaire   +4 more sources

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

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