Results 141 to 150 of about 41,575 (296)
‘biomod2' – extending presence–absence species distribution models to multiple data types
Ecography, EarlyView.The R package ‘biomod2' is one of the most widely used and versatile tools for species distribution modelling (SDM), enabling ecologists to calibrate, evaluate, and project species–environment relationships across space and time using multiple modelling algorithms and ensemble forecasting.
Maya Guéguen +3 more
wiley +1 more source
Resource-constrained FPGA/DNN co-design
, 2021 Resource-constrained FPGA/DNN co ...
Abbas Kouzani (13079637) +1 more
core
Energy Science &Engineering, EarlyView.By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
PiQi: Partially Quantized DNN Inference on HMPSoCs [PDF]
Deep Neural Network (DNN) inference is now ubiquitous in embedded applications at the edge. State-of-the-art Heterogeneous Multi-Processors System-on-Chip (HMPSoCs) powering these applications come equipped with powerful Neural Processing Units (NPUs ...
Shen, Y.; id_orcid +4 more
core +1 more source
Defining the pollinator garden: is conceptual flexibility a feature or a bug?
Frontiers in Ecology and the Environment, EarlyView.Ecologists often aim to reduce conceptual ambiguity by attempting to create rigid shared lexicons. These efforts imply that ambiguity is undesirable. In some contexts, however, conceptual flexibility comes with under‐discussed benefits. Here, we use the lens of pollinator gardening to explore how conceptual flexibility is built into participatory ...
Atticus W Murphy +11 more
wiley +1 more source
InfoScience, EarlyView.Traditional light‐analyzing tools, known as spectrometers, are typically too bulky and expensive to fit into portable electronics like smartphones or wearables. In this study, we developed a microscopic, high‐performance spectrometer using a material called Indium Selenide combined with smart algorithms to accurately analyze light from the visible to ...
Jing Chen +8 more
wiley +1 more source
고에너지 효율의 적응형 고정 소수점 DNN 학습 프로세서
, 2023 학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2023.2,[xviii, 278 p. :]DF-LNPU which focused on the acceleration of a specific application and HNPU which is a general-purpose DNN training processor, which is an energy-efficient DNN training processor by adopting ...
Han, Donghyeon
core
InfoMat, EarlyView.Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu +9 more
wiley +1 more source
Performance Comparison of Distributed DNN Training on Optical Versus Electrical Interconnect Systems
Parallel and distributed Deep Neural Network (DNN) training have become integral in data centers, significantly reducing DNN training time. The interconnection type among nodes and the chosen all-reduce algorithm critically impact this speed-up.
Chen, Yawen +4 more
core +1 more source
Irrigation and Drainage, EarlyView.ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source