Results 111 to 120 of about 34,502 (299)

A Novel Hydrological Signature‐Informed Framework for Enhancing Streamflow Prediction Using Multi‐Task Learning

Water Resources Research, Volume 62, Issue 1, January 2026.
Abstract Hydrological signatures (HS) have proven to be highly effective in calibrating physically‐based hydrological models, enhancing their process consistency. However, their integration into parameter optimization for deep learning (DL)‐based hydrological models has been limited.
Zili Wang, Chaoyue Li, Ruilong Wei, Binlan Zhang, Peng Cui   +4 more
wiley   +1 more source

A Century of Drought Research (1900–2023): Scientific Developments, Methodological Innovations, and Emerging Frontiers

Water Resources Research, Volume 62, Issue 1, January 2026.
Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries. This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications. The review
Amitesh Sabut, Ashok Mishra
wiley   +1 more source

Guardians of ICS: A Comparative Analysis of Anomaly Detection Techniques

IET Cyber-Physical Systems: Theory &Applications, Volume 11, Issue 1, January/December 2026.
This study presents a comparative evaluation of supervised and unsupervised learning models for anomaly detection in industrial control systems (ICS), using data from the SWaT testbed. Results show that although supervised models offer higher precision, they miss more unknown attacks, whereas unsupervised models achieve better recall but with increased
Zequn Wang, Muhammad Azmi Umer, Haibo Zhang, Naveed ul Hassan, Chuadhry Mujeeb Ahmed   +4 more
wiley   +1 more source

Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
The graphical abstract (Graphical Abstract figure) summarises the proposed pipeline: multivariate ICS data streams are windowed and normalised, fed into a temporal LSTM–DNN encoder and per‐sensor operating‐envelope learner, combined via calibrated fusion and finally surfaced through an operator‐facing digital twin that provides event timelines, top ...
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Swatting flies [PDF]

Nature, 2004
openaire   +2 more sources

Hydrologic comparison between a forested and a wetland/lake dominated watershed using SWAT [PDF]

, 2007
Kangsheng Wu, Carol A. Johnston
openalex   +1 more source

Professional consensus on orthodontic risks: what orthodontists should tell their patients. A cross-sectional study at Saidu college of dentistry, Swat

Journal of the Pakistan Medical Association
The importance of transparent communication regarding orthodontic risks during the informed consent process in paramount in terms of ensuring a strong orthodontist-patient relationship.
Erum Behroz Khan, Huda Ghaffar, Neelam Shah Jehan, Muhammad Zaheen, Tufail Muhammad, Ali Raza Jafri   +5 more
doaj   +1 more source

Swatting Truth [PDF]

Perception, 1980
openaire   +2 more sources

Review of Organizational Setup for Forest Conservation and Related Issues in Khyber Pakhtunkhwa, Pakistan: A case study of Swat Valley

, 2022

openalex   +1 more source

Regeneration in Aesthetic Medicine: Mechanisms, Evidence, and Clinical Boundaries

Journal of Cosmetic Dermatology, Volume 25, Issue 1, January 2026.
ABSTRACT Background Regeneration has emerged as a key concept in aesthetic medicine as the field evolves from predominantly volumetric correction toward biologically oriented strategies aimed at improving tissue quality, function, and long‐term structural integrity.
Antony de Paula Barbosa
wiley   +1 more source