Results 201 to 210 of about 99,393 (272)

Assessing group size and the demographic composition of a canopy‐dwelling primate, the northern muriqui (Brachyteles hypoxanthus), using arboreal camera trapping and genetic tagging

Remote Sensing in Ecology and Conservation, EarlyView.
We combined arboreal camera trapping and non‐invasive genetic tagging to estimate group size in the critically endangered northern muriqui (Brachyteles hypoxanthus) in Brazil's Atlantic Forest. Both methods provided complementary insights into group size and demographic structure, while differing in their cost‐effectiveness and sampling constraints ...
Mariane C. Kaizer, Naiara G. Sales, Thiago H. G. Alvim, Karen B. Strier, Fabiano R. de Melo, Jean P. Boubli, Robert J. Young, Allan D. McDevitt   +7 more
wiley   +1 more source

Deep learning predicts real-world electric vehicle direct current charging profiles and durations. [PDF]

Nat Commun
Li S, Zhang M, Doel R, Ross B, Piggott MD.   +4 more
europepmc   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

Remote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan, Cristina Banks‐Leite, Mirko Kovac, Jenna Lawson, Lorenzo Picinali, Sarab S. Sethi   +5 more
wiley   +1 more source

Short term demand forecasting of electric vehicle charging stations using context aware temporal transformer model. [PDF]

Sci Rep
Hussain A, Lu QC, Rizvi SS, Wang S, Kwon SJ.   +4 more
europepmc   +1 more source

Large‐scale characterization of horizontal forest structure from remote sensing optical images

Remote Sensing in Ecology and Conservation, EarlyView.
Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu, Martin Brandt, Xiaowei Tong, Maurice Mugabowindekwe, Yuemin Yue, Sizhuo Li, Qiue Xu, Siyu Liu, Florian Reiner, Kelin Wang, Zhengchao Chen, Yongqing Bai, Rasmus Fensholt   +12 more
wiley   +1 more source

Lightweight machine learning framework using temporal features for electric vehicle demand response forecasting on edge devices. [PDF]

Sci Rep
Durrani AM, Asar AU, Aziz A, Khan W, Yousaf MZ, Anjam F, Farooq U, Abdullah M, Shabaz M.   +8 more
europepmc   +1 more source

Beyond 5G and Non‐terrestrial Network (NTN) Integrated Architecture: Access Challenges for Expanding Artificial Intelligence of Things (AIoT)

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This study analyzes the architecture of the beyond 5G‐NTN (Non‐terrestrial Network) integrated network and presents the technical, legal, and regulatory challenges and considerations for expanding the Artificial Intelligence of Things (AIoT) ecosystem.
Byung Woon Kim, Ga Eun Choi
wiley   +1 more source

A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems. [PDF]

Sci Rep
Shams H, Rostami N, Mohammadi Ivatloo B.
europepmc   +1 more source

From Global Mapping to Local Action: Green Finance, Regulatory Frameworks, and Policy Transformation for Sustainable Energy Transition in Qatar and Türkiye

Sustainable Development, EarlyView.
ABSTRACT In 2024, global annual issuance exceeded USD 1.1 trillion mostly through green bonds, credits, and sustainability‐linked instruments, yet significant regional disparities remain. This article examines how Qatar and Türkiye, two hydrocarbon‐dependent but rapidly transitioning economies, are integrating green finance into their sustainability ...
Furkan Ahmad, Ameni Boumaiza, Mehmet Yazici, Nevin Taşaltın, Samet Özmen   +4 more
wiley   +1 more source

Analyzing Mega-mobility Systems in Smart Cities: A Macro-Micro Integration with Feedback Paradigm Empowered by Artificial Intelligence. [PDF]

Research (Wash D C)
Wang Z, Cheng Q, Gu Z, Liu C, Cun D, Shi X, Wu X, Zhou Z, He X, Vlacic L, Liu Z.   +10 more
europepmc   +1 more source