Fonder is the comparative form of the adjective 'fond,' which means having a strong liking or affection for someone or something. Fonder describes a deeper level of attachment, sentiment, or love towards a …
Deep learning achieves remarkable performance on pattern recognition, but can be vulnerable to defects of some important properties such as robustness and security. This tutorial is based on a stream of research conducted since the summer of 2018 at...
We investigate the problem of supporting Industrial Internet of Things user equipment (IIoT UEs) with intent (i.e., requested quality of service (QoS)) and random traffic arrival. A deep reinforcement learning (DRL) based centralized dynamic schedule...
We calculate the thermal structure and quiescent thermal luminosity of accreting neutron stars (warmed by deep crustal heating in accreted matter) in soft X-ray transients (SXTs). We consider neutron stars with nucleon and hyperon cores and with ac...
Gradient sparsification is a communication optimisation technique for scaling and accelerating distributed deep neural network (DNN) training. It reduces the increasing communication traffic for gradient aggregation. However, existing sparsifiers hav...
Deep Learning Project to identify car damages like dents, scratches (⭐ 6)
Mixed-integer linear programming (MILP) stands as a notable NP-hard problem pivotal to numerous crucial industrial applications. The development of effective algorithms, the tuning of solvers, and the training of machine learning models for MILP reso...
Modelling gravity is a fundamental problem that must be tackled in N-body simulations of stellar systems, and satisfactory solutions require a deep understanding of the dynamical effects of softening. In a previous paper (Romeo 1997), we have devis...
I’ve got some basic frontend skills and I really want to go deeper into building full apps with Angular. But honestly, I’m feeling a bit discouraged — I asked Gemini for ideas for a fairly compl...
Pre-training Transformer models is resource-intensive, and recent studies have shown that sign momentum is an efficient technique for training large-scale deep learning models, particularly Transformers. However, its application in distributed traini...
We present a differentiable pipeline for simulating the motion of objects that represent their geometry as a continuous density field parameterized as a deep network. This includes Neural Radiance Fields (NeRFs), and other related models. From the de...
Accurate annotation of fixation type is a critical step in slide preparation for pathology laboratories. However, this manual process is prone to errors, impacting downstream analyses and diagnostic accuracy. Existing methods for verifying formalin...
At low $x$ a transition from a dilute parton gas to a dense parton liquid takes place. We derive geometrical scaling for the structure function in deep inelastic scattering at low $x$ from a diverging correlation length $ξ(x)$ of Wilson lines near...
A pattern for an always on AI Assistant powered by Deepseek-V3, RealtimeSTT, and Typer for engineering (⭐ 981)
Siobhan, Cassidy's girlfriend and character from J Kenner's Stark International trilogy. Also appears in Deepest Kiss, Hold me, Wicked Grind, Sweetest Taboo and Anchor Me.
i’ve seen the worst ones that get brought up to show her past questionable behavior/morals but never dove deep into all of the other ones until now. these were some highlights lmao some are… ironi...
Lake Baikal is a rift lake and the deepest lake in the world. It is situated in southern Siberia, Russia, between the federal subjects of Irkutsk Oblast
In this paper we introduce a new, high-quality, dataset of images containing fruits. We also present the results of some numerical experiment for training a neural network to detect fruits. We discuss the reason why we chose to use fruits in this pro...
To help you navigate a crowded marketplace, we’ve narrowed down 10 of the best face moisturizers for very dry and sensitive skin that provide deep, long-lasting hydration without a greasy feeling.
Aim: This study aims to enhance interpretability and explainability of multi-modal prediction models integrating imaging and tabular patient data. Methods: We adapt the xAI methods Grad-CAM and Occlusion to multi-modal, partly interpretable deep tr...