Results 31 to 40 of about 33,535 (242)

Big data grace: Implementations of the feature engineering and data science algorithms for environmental protection law

Alexandria Engineering Journal
This study is intended to predict CO2 emissions using a set of features. With this aim, three machine learning (ML) algorithms have been used, namely, support vector regression (SVR), Long Short Term Memory (LSTM), and multilayer perceptron (MLP).
Wenyue Wu, Yiming Zhao
doaj   +1 more source

Dielectric Permittivity Tensor of Muscovite for Next Generation All Van Der Waals Broadband Photonic Components

Advanced Optical Materials, EarlyView.
Low‐index and low‐loss vdW muscovite represents an emerging robust dielectric platform for the creation of next‐generation all‐vdW nanophotonic architectures. Its utilization as a low‐index building‐block in all‐vdW multilayers enables extreme optical contrast when paired with MoS2, paving the way to the realization of few‐layer ultrathin DBS ...
Meri H. Hayrapetyan, Maksim L. Sargsyan, Davit A. Karakhanyan, Ani P. Khachatryan, Maria A. Levonyan, Dmitrii Litvinov, Maciej Koperski, Artsruni V. Margaryan, Makars Šiškins, Konstantin S. Novoselov, Davit A. Ghazaryan   +10 more
wiley   +1 more source

Radar Echo Spatiotemporal Sequence Prediction Using an Improved ConvGRU Deep Learning Model

Atmosphere, 2022
Precipitation nowcasting is extremely important in disaster prevention and mitigation, and can improve the quality of meteorological forecasts. In recent years, deep learning-based spatiotemporal sequence prediction models have been widely used in ...
Wei He, Taisong Xiong, Hao Wang, Jianxin He, Xinyue Ren, Yilin Yan, Linyin Tan   +6 more
doaj   +1 more source

Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network

Advanced Optical Materials, EarlyView.
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen, Yuhang Li, Çağatay Işıl, Tianyi Gan, Mona Jarrahi, Aydogan Ozcan   +5 more
wiley   +1 more source

Carbon Emission Prediction Through the Harmonization of Extreme Learning Machine and INFO Algorithm

IEEE Access
This research introduces a novel optimization algorithm, weIghted meaN oF vectOrs (INFO), integrated with the Extreme Learning Machine (ELM) to enhance the predictive capabilities of the model for carbon dioxide (CO2) emissions. INFO optimizes ELM’
Afi Kekeli Feda, Oluwatayomi Rereloluwa Adegboye, Ephraim Bonah Agyekum, Abdurrahman Shuaibu Hassan, Salah Kamel   +4 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Construction Of Almost Unbiased Estimator For Population Mean Using Neutrosophic Information [PDF]

Neutrosophic Sets and Systems
In classical statistics, the population mean is estimated using determinate, crisp data value when auxiliary information is known. These estimates can often be biased.
Florentin Smarandache, Rajesh Singh, Anamika Kumari, Shobh Nath Tiwari   +3 more
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception

Advanced Robotics Research, EarlyView.
TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei, Gurmeher Khurana, Sirine Bhouri, Wenhao Hong, Zeyuan Xin, Qingzheng Cong, Wen Fan, Yanzheng Xiang, Dandan Zhang   +8 more
wiley   +1 more source

Worst-case mean square error (MSE) transceiver design for imperfect estimate multi-input-multi-output communication channels

IET Communications, 2012
The authors consider the worst-case transceiver design problem under spectrum bounded channel uncertainty matrices. Their design aims to minimise the trace and the determinant of the estimate error covariance matrix, respectively. The authors relax the formulated problem into an optimisation problem with bilinear matrix inequality constraints (i.e. BMI
openaire   +2 more sources