Results 41 to 50 of about 1,609 (181)

Hamamelis vernalis

Bulletin of popular information - Arnold Arboretum, Harvard University., 1927
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire   +1 more source

A pH Buffer Additive for Aqueous Processing of Spinel and Layered Li‐Ion Positive Electrodes

ChemElectroChem, Volume 13, Issue 1, January 2026.
An LiH2PO4 buffer enables robust aqueous processing of LNMO and NMC622 positive electrode materials by controlling slurry pH, limiting metal dissolution and Al current‐collector corrosion, and forming a protective phosphate surface layer for crack‐free coatings and stable cycling.
Marion Maffre, Xuelian Liu, Robert Markowski, Shubhadeep Pal, Da Tie, Adina Melinte, Adnana Zaulet, Mihaela Buga, Alexandru Vlad   +8 more
wiley   +1 more source

Monogalloylhamamelose aus Hamamelis virginiana/ Monogalloylhamamelose from Hamamelis virginiana

Zeitschrift für Naturforschung C, 1986
By chromatography of the bark extract from Hamamelis virginiana a monogalloylhamamelose was isolated. It is shown by 13C N M R spectroscopy that this compound is a complex mixture of isomeric 5-galloylhamamelofuranoses, 2′-galloylhamamelofuranoses and 2′-galloylhamamelopyranoses.
Gerhard Schilling, Alois Keller
openaire   +1 more source

RABNet: A Residual Attention‐Based Network for Visibility Restoration in Hazy Images

IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
Image dehazing enhances visibility and image quality, enabling better decision‐making in critical applications such as surveillance, remote sensing, and autonomous driving. However, single‐image dehazing remains challenging due to the need for smoothness in homogeneous regions, accurate edge preservation, texture fidelity, and artifact‐free ...
Syeda Rabail Zahra, Farhan Hussain, Ali Hassan, Tehseen Mazhar, Amal Al-Rasheed, Muhammad Amir Khan, Wasim Ahmad, Habib Hamam, Ramin Ranjbarzadeh   +8 more
wiley   +1 more source

Deep Reinforcement Learning and IoT for Renewable Energy Optimization in Smart Buildings: A Comprehensive Review

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar, Sghaier Guizani, Habib Hamam   +2 more
wiley   +1 more source

Explainable Multi‐Target Forecasting and Resilience Assessment for Microgrid Energy Management

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
Limited multi‐target forecasting frameworks for integrated microgrid energy flows: Most existing studies focus on predicting a single energy variable (e.g., solar irradiance or wind power) rather than simultaneously modelling multiple interdependent energy streams such as solar, wind, hydrogeneration, and load demand.
Sunawar Khan, Tehseen Mazhar, Sghaier Guizani, Yazeed Yasin Ghadi, Husam S. Samkari, Mohammed F. Allehyani, Habib Hamam   +6 more
wiley   +1 more source

Susceptibility of Selected Grape Varieties to Arthropod Infestation in Salah Al-Din Governorate, Iraq [PDF]

Journal of Global Innovations in Agricultural Sciences
Grapevines are essential to Iraq's horticultural economy, as the Salah Al-Din region is considered the leading producer. However, grapevines are susceptible to arthropod pests, which threaten yield and quality.
Hind Ibrahim Al-Khazraji
doaj   +1 more source

An Intelligent Approach to Predict the Traffic Congestion Level Entangled With Machine Learning and Explainable Artificial Intelligence

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
We develop a unified machine learning (ML)–explainable artificial intelligence pipeline for traffic congestion forecasting that couples a predictive model with post hoc explanations, ensuring that forecasts are not only accurate but also operationally interpretable.
Salman Muneer, Hamza Muneer, Arslan Munir, Naila Sammar Naz, Tehseen Mazhar, Mamoon M. Saeed, Muhammad Adnan Khan, Habib Hamam   +7 more
wiley   +1 more source

Nekoliko novih podataka o službenicima Isa-begova vakufa u Sarajevu krajem 17. i početkom 18. stoljeća

Anali Gazi Husrev-Begove Biblioteke, 2015
U ovome radu, na osnovu dosada neobjavljenih sudskih dokumenata, govori se o nekoliko ličnosti koje su krajem 17. i početkom 18. stoljeća upravljale Gazi Isa-begovim zadužbinama u Sarajevu.
Haso Popara
doaj  

Deep Learning Approaches for Intrusion Detection in IoT Networks: A PRISMA‐Guided Systematic Review With Descriptive Meta‐Analysis

IET Networks, Volume 15, Issue 1, January/December 2026.
Our paper does the following: (1) Establishes a consolidated taxonomy for the IoT intrusion detection systems that utilise DL, differentiated by architecture, learning paradigm, deployment strategy and optimization goals. (2) Meta‐analytically synthesises evidence from the included primary studies and highlights consistent detection effectiveness ...
Aashesh Kumar, Haroon Arif, Tehseen Mazhar, Ghadah Aldehim, Muhammad Amir Khan, Habib Hamam   +5 more
wiley   +1 more source