Results 71 to 80 of about 166,404,904 (213)

High Temperatures and Rural Household Expenditure: Evidence From Longitudinal Data in Colombia

open access: yesReview of Development Economics, EarlyView.
ABSTRACT This paper examines the impact of rising temperature on rural household expenditure in Colombia by combining high‐resolution gridded weather data with a rich longitudinal household survey. Our results show that a one‐standard‐deviation increase in average daily temperature during the rainy months significantly reduces rural household ...
Cristhian D. Prieto   +2 more
wiley   +1 more source

Evolution of Netted Radar Systems

open access: yesIEEE Access, 2020
The netted radar systems are known for being able to provide higher target detection probabilities, more accurate measurements, and better multi-target tracking performance than the monostatic/bistatic radar systems by exploiting information fusion ...
Zhe Geng
doaj   +1 more source

The Stability‐Instability Paradox and the Evolving Balance of Terror in the Middle East

open access: yesMiddle East Policy, Volume 33, Issue 4, Winter 2026.
Abstract In launching its war on Iran, Washington has committed a grave mistake by allowing a weakened Islamic Republic to reconstitute a regional balance of terror. This article shows how the Cold War‐era stability‐instability paradox has been restored in a new form, creating an equilibrium that discourages open warfare while reducing the advantages ...
Thomas Juneau
wiley   +1 more source

Automatic Modulation Classification of LFM and Polyphase-coded Radar Signals [PDF]

open access: yesRadioengineering, 2017
There are several techniques for detecting and classifying low probability of intercept radar signals such as Wigner distribution, Choi-Williams distribution and time-frequency rate distribution, but these distributions require high SNR. To overcome this
S. B. S. Hanbali, R. Kastantin
doaj  

Development of Indonesian low probability of intercept (LPI) radar system

open access: yes, 2017
In this paper, the development of a low probability of intercept (LPI) radar based on frequency modulated-continuous wave (FM-CW) technology is described. This LPI radar was mounted on a naval ship.
Husna Zayadi
core  

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

open access: yesJournal of Field Robotics, Volume 43, Issue 7, Page 4475-4514, October 2026.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang   +3 more
wiley   +1 more source

Cognitive MIMO Frequency Diverse Array Radar with High LPI Performance

open access: yesInternational Journal of Antennas and Propagation, 2016
Frequency diverse array (FDA) has its unique advantage in realizing low probability of intercept (LPI) technology for its dependent beam pattern. In this paper, we proposed a cognitive radar based on the frequency diverse array multiple-input multiple ...
Ling Huang   +3 more
doaj   +1 more source

A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar Network

open access: yesSensors, 2016
Radar networks are proven to have numerous advantages over traditional monostatic and bistatic radar. With recent developments, radar networks have become an attractive platform due to their low probability of intercept (LPI) performance for target ...
Ji She, Fei Wang, Jianjiang Zhou
doaj   +1 more source

Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

open access: yesSādhanā, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A R SACHIN, Sooraj K AMBAT, K V S HARI
openaire   +2 more sources

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han   +6 more
wiley   +1 more source

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