Results 101 to 110 of about 31,148 (230)

Review of recent advances in the design, synthesis, and modification of biochar for remediation of heavy metal pollution in water

The Canadian Journal of Chemical Engineering, Volume 104, Issue 4, Page 1769-1795, April 2026.
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma, Mehedi Hasan, Sudip K. Rakshit, Janusz Kozinski, Kang Kang   +4 more
wiley   +1 more source

Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board

Majlesi Journal of Electrical Engineering
In this paper, an intelligent adaptive controller is designed to handle the transmission time delay problem in a complex and nonlinear bilateral teleoperation system with force feedback.
Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim   +3 more
doaj   +1 more source

Fruit production forecasting by neuro-fuzzy techniques [PDF]

Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems.
Atsalakis, George S., Atsalakis, Ioanna G.   +1 more
core   +1 more source

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

Fuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

Engineered Optical Fibers for Deep‐Tissue Applications

Advanced Optical Materials, Volume 14, Issue 10, 13 March 2026.
This review establishes a foundational framework for designing optical fibers for deep‐tissue medicine. It systematically links material innovations like polymers and hydrogels with structural paradigms to enable state‐of‐the‐art diagnostics, including endoscopy and biosensing, and targeted therapeutics, guiding future clinical translation.
Yuzhen Li, Siyang Zheng, Wenzhao Li, Kai Chen, Tianting Zhong, Chi Man Woo, Weiran Pang, Chuqi Yuan, Xiaozhou Xiao, Xianguang Yang, Long Jin, Xiang Qian, Qiyao Tan, Changyuan Yu, Liwei Liu, Junle Qu, Puxiang Lai   +16 more
wiley   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, Volume 14, Issue 3, Page 1286-1299, March 2026.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Multi‐Modal Deep Feature Extraction and Classifier‐Level Integration for Brain Tumour Classification Using CT and MRI Image

Artificial Intelligence for Engineering, Volume 2, Issue 1, Page 18-37, March 2026.
This multi‐modal deep learning framework classifies brain tumours using multi‐backbone deep feature extraction and classifier‐level fusion from CT and MRI images. In extensive experiments, fused features from SqueezeNet, ResNet, and MobileNet combined with a neural network classifier outperform single‐modality and single‐model baselines and show that ...
N. Shyamala, S. Mahaboob Basha
wiley   +1 more source

Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System

IEEE Access, 2019
This paper studies a split-complex-valued neuro-fuzzy algorithm for fuzzy inference system, which realizes a frequently used zero-order Takagi-Sugeno-Kang system. Here, adaptive momentum is utilized to speed up the learning convergence.
Yan Liu, Fang Liu, Long Li
doaj   +1 more source

Reframing the Chipped Edge: Combining Materiality, Ontology, and Embodiment to Rethink Stone Tool‐Making and Human Conscious Behavior in the Paleolithic Past

Anthropology of Consciousness, Volume 37, Issue 1, Spring 2026.
ABSTRACT Combining different theoretical frameworks can lead to new insights into the role of material things in shaping human experience in the Paleolithic period. This paper first presents a historical review of three theoretical approaches in archaeology, anthropology, and the philosophy of mind: Material culture and materiality studies, the ...
Bar Efrati
wiley   +1 more source