The right of all to inclusion in the learning process by Nanny Hartsmar, Maria Sandström

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GenAI and the Mirage of Personalised Learning for All by Armin Alimardani, Emma A Jane

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Enabling All In-Edge Deep Learning: A Literature Review by Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

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Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection by Saeedeh Ghazi, Saeed Farzi, Amirhossein Nikoofard

“…This paper introduces FairFedDRL, a fair client selection approach based on Double Deep Q-learning, designed to ensure equitable participation opportunities for all clients, thereby enhancing both fairness and performance. …”
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“We Can All Learn Together so We’re All on the Same Page”: Impact of a Learning Essential Approaches to Palliative Care Hospital Course on Hospitalists’ Practice by Ashlinder Gill, Sarah Romeril, Lynn Meadows, Alison Flanagan, Ashwak Rhayel, Michael Panza, Christopher Klinger, Narisa Duboff, Jose Pereira, Joan Bellaire

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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

“…Diffractive Neural Networks (DNNs) leverage the power of light to enhance computational performance in machine learning, offering a pathway to high-speed, low-energy, and large-scale neural information processing. …”
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ALL diagnosis: can efficiency and transparency coexist? An explainble deep learning approach by Dost Muhammad, Muhammad Salman, Ayse Keles, Malika Bendechache

“…Abstract Acute Lymphoblastic Leukemia (ALL) is a life-threatening malignancy characterized by its aggressive progression and detrimental effects on the hematopoietic system. …”
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The Implementation of Eclectic Methods in Arabic Learning Based on All in One System Approach by Zulfa Amalia Wahidah, Umi Baroroh, Abdur Rasheed-Mahmoud Mukadam

“…One method is not enough to achieve four language skills in Arabic language learning.  We need a method that is able to accommodate the weaknesses of the previous method. …”
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How It All started and How It Evolved: Ray’s Whip by Nicoletta Stame

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Why Does Intelligence Fail Yet We All Have to Learn from Mistakes? by A. R. Margoev

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All together now: building resilient citizen energy communities through collaborative learning by Paul Tobin, Breffní Lennon

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A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

“…A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. …”
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Scale Is Not All You Need: Revisiting the Biomimetic Roots of Deep Learning to Overcome Fundamental Limitations by Malek Wahidi, Anthony Rizk, Rodrigue Imad

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Vanilla Convolutional Neural Network is all you Need for Online and Offline Signature Verification by Yilmaz Mustafa Berkay, Öztürk Kağan

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Automatic Detection and Classification of Aurora in THEMIS All‐Sky Images by Jeremiah W. Johnson, Doğacan Su Öztürk, Donald Hampton, Hyunju K. Connor, Matthew Blandin, Amy Keesee

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Kolmogorov GAM Networks Are All You Need! by Sarah Polson, Vadim Sokolov

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Honoring Roger Weissberg’s legacy by centering relationships, collaboration, and the wellbeing of all children through SEL by Maurice J. Elias, Danielle R. Hatchimonji

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urning Conflict Experiences of Some into Resilience for All: An Impossible Task? by Corine Philippart

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It's All in the Trying by Phil Mooney

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Machine learning-based prediction of five-year all-cause mortality in patients with mixed gastric cancer by Cong Wang, Hongwei Li, Hongye Yang, Yingwei Xue

Subjects: “…Machine learning…”
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