Results 211 to 220 of about 337,942 (263)

Local realities, global discourses and decolonising the curriculum in a post‐92 UK context: Academic voices on enacting decolonial curriculum change

The Curriculum Journal, EarlyView.
Abstract This study explored how lecturers in a post‐92 UK university conceptualise and enact decolonial curriculum principles within their teaching and programme design. Drawing on semi‐structured interviews with academic staff across multiple disciplines, the research adopts a qualitative, phenomenologically informed approach to examine the interplay
Reece Sohdi
wiley   +1 more source

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza, Hendrik Grobler, Moshood Onifade, Manoj Khandelwal   +3 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Co‐Producing the Transition to Eating Disorder Youth Intervention: Experience‐Based Co‐Design Workshops Supporting Young People in Transition

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Eating disorders (EDs) are severe and complex psychiatric illnesses, with adolescence and young adulthood representing particularly vulnerable periods for onset, relapse and disruptions in treatment. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is especially complex ...
Maria Livanou, Marta Marlais, Charlotte Burton, Nora Kornai, Anna Bromley, Pareena Dutt, Jiarui Li, Tiffany Luxford, Francesca Marshall, Maria Georgia Dioletta, Molly Henson, Jun Teh, Emily Nuttall, Ashish Kumar, Kevin Christian, Carolyn Hatton, Zara Smalley, Grace Hill, Anya Heneghan, Kat Novogrudsky   +19 more
wiley   +1 more source

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Progressive learning: A deep learning framework for continual learning

Neural Networks, 2020
Continual learning is the ability of a learning system to solve new tasks by utilizing previously acquired knowledge from learning and performing prior tasks without having significant adverse effects on the acquired prior knowledge. Continual learning is key to advancing machine learning and artificial intelligence.
Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu   +2 more
openaire   +5 more sources

Adaptive Progressive Continual Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Continual learning paradigm learns from a continuous stream of tasks in an incremental manner and aims to overcome the notorious issue: the catastrophic forgetting. In this work, we propose a new adaptive progressive network framework including two models for continual learning: Reinforced Continual Learning (RCL) and Bayesian Optimized Continual ...
Ju Xu, Jin Ma, Xuesong Gao, Zhanxing Zhu
openaire   +3 more sources

Dynamic Consolidation for Continual Learning

Neural Computation, 2023
Abstract Training deep learning models from a stream of nonstationary data is a critical problem to be solved to achieve general artificial intelligence. As a promising solution, the continual learning (CL) technique aims to build intelligent systems that have the plasticity to learn from new information without forgetting the previously
Li, Hang, Ma, Chen, Chen, Xi, Liu, Xue
openaire   +3 more sources

Learning continuous potentials from smFRET

Biophysical Journal, 2022
ABSTRACTPotential energy landscapes are useful models in describing events such as protein folding and binding. While single molecule fluorescence resonance energy transfer (smFRET) experiments encode information on continuous potentials for the system probed, including rarely visited barriers between putative potential minima, this information is ...
J. Shepard Bryan, Steve Pressé
openaire   +2 more sources

Continuous learning about markets

Planning Review, 1992
When talking about continuous learning organizations, the word “continuous” bears emphasis. “Continuous” is used in the sense that one does not conduct a single study at a single point in time and then use it as a basis for all following activities. I worked on mapping new product development processes at a major manufacturer of telecommunications gear.
openaire   +1 more source