Results 81 to 90 of about 457 (225)

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

High‐performance heat‐resistant tactile sensor for intelligent sensing and safe operation

FlexMat, EarlyView.
Abstract Tactile sensing in high‐temperature environments remains a critical challenge for robotic systems operating in industrial manufacturing, food processing, and other high‐temperature assembly operations. Herein, we report a heat‐resistant flexible tactile sensor with comprehensive high performance, featuring a hierarchical architecture ...
Yugang Chen, Shasha Wang, Haopeng Wang, Xun Fu, Qifei Lv, Shuting Xie, Yan Li, Jiangtian Tan, Linghai Xie   +8 more
wiley   +1 more source

Recent progress and challenges in top‐emitting quantum dot light‐emitting diodes

FlexMat, EarlyView.
This review summarizes recent advances in top‐emitting quantum‐dot light‐emitting diodes (TE‐QLEDs), including device architectures, microcavity engineering, angular‐emission management, and operational stability, highlighting optical–electrical–thermal co‐optimization as the key pathway toward reliable, high‐performance TE‐QLEDs. Abstract Top‐emitting
Chengyi Chen, Yuqi Liang, Mian Wei, Qiulei Xu, Huimin Zhang, Zhenghui Wu, Huaibin Shen   +6 more
wiley   +1 more source

Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology

InfoScience, EarlyView.
Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang, Hongqiang Wang, Xu Chen, Xin Peng   +3 more
wiley   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

Irrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra, J. C. Paul, Sushree Sangita Dash   +2 more
wiley   +1 more source

Nutritional and sensory characteristics of local and hybrid East African Highland cooking bananas: Implications for breeding programs

JSFA reports, EarlyView.
Abstract Background Bananas (Musa species) are an important staple food and cash crop in many parts of the world. The East African Highland cooking bananas form the backbone of food security for millions of Ugandans. The demand for high quality cooking bananas is thus closely linked to their sensory characteristics (which drive consumer preference) and
Willy Nelson Kisenyi, Pricilla Marimo, Moses Matovu, Kephas Nowakunda, Ediriisa Mugampoza, Samuel Gafuma, Timothy Omara, Ivan Kiganda   +7 more
wiley   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Classification of Radar Emitters Based on Pulse Repetition Interval using Machine Learning

, 2022
In electronic warfare, one of the key technologies is radar. Radar is used to detect and identify unknown aerial, nautical or land-based objects. An attribute of of a pulsed radar signal is the Pulse Repetition Interval (PRI) which is the time interval ...
Svensson, André
core  

Improving Digital Mapping of Soil Organic Carbon and Total Nitrogen Through Integration of Sentinel‐1 Backscatter, InSAR Coherence, and Sentinel‐3 OLCI/SLSTR Observations

Land Degradation &Development, EarlyView.
ABSTRACT The potential of optical satellites for the spatial prediction of soil organic carbon (SOC) and total nitrogen (STN) has long been recognized. Owing to their balanced spatial–temporal resolution, multisource observational capabilities, and unprecedented availability of free data, Sentinel satellites offer unique opportunities for mapping soil ...
Tao Zhou, Xueting Zheng, Hongmin Zhang, Yajun Geng, Huijie Li, Junming Liu, Tingting Liu, Asim Biswas, Bingcheng Si   +8 more
wiley   +1 more source

Detection and classification of low probability of intercept radar signals using parallel filter arrays and higher order statistics [PDF]

, 2002
The term Low Probability of Intercept (LPI) is that property of an emitter that because of its low power, wide bandwidth, frequency variability, or other design attributes, makes it difficult to be detected or identified by means of passive intercept ...
Taboada, Fernando L.
core