March 2026

Drones are becoming popular as a complementary system for ac{ems}. Although several pilot studies and flight trials have shown the feasibility of drone-assisted ac{aed} delivery, running a full-scale operational network remains challenging due to high capital expenditure and environmental uncertainties. In this paper, we formulate a reliability-informed Bayesian learning framework for designing drone-assisted ac{aed} delivery networks under environmental and operational uncertainty. We propose our objective function based on the survival probability of ac{ohca} patients to identify the ideal […]

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je travail sur un pfe et je dois faire implémentation de qlq algorithme pour l’optimisation des feux de signalisation adaptatifs , j’ai terminé de configurer mon réseau (routes, feux, vehichules, ect) je dois faire une comparaison entre des scénario , scénario fixe ,Algo MA2C , MA2C avec améliorations et ppo ect mais je ne sais pas comment faire je dois aussi develloper une app pour visualiser les métriques et pour la comparaison et je travail avec SUMO , […]

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Curriculum Learning (CL) is a meta-learning paradigm that trains a model by feeding the data instances incrementally according to a schedule, which is based on difficulty progression. Defining meaningful difficulty assessment measures is crucial and most usually the main bottleneck for effective learning, while also in many cases the employed heuristics are only application-specific. In this work, we propose the Dual-Criterion Curriculum Learning (DCCL) framework that combines two views of assessing instance-wise difficulty: a loss-based criterion is complemented […]

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Burnout is an occupational syndrome that, like many other professions, affects the majority of software engineers. Past research studies showed important trends, including an increasing use of machine learning techniques to allow for an early detection of burnout. This paper is a systematic literature review (SLR) of the research papers that proposed machine learning (ML) approaches, and focused on detecting burnout in software developers and IT professionals. Our objective is to review the accuracy and precision of the […]

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Hey ! I’m trying to implement a very simple PPO algorithm with numpy but I’m struggling with 2 things : – It seems that the actor net is not learning and I don’t know why. – some values go to nan after some epochs. I tried to comment as well as I could to keep it simple. Thank you very much for taking the time to help me: the environnement : a little grid 2d : “”” GAME […]

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Your warehouse already contains an implicit “analytics brain” in the form of years of SQL; SQL embeddings make that brain searchable and reusable. Embedding SQL + query metadata enables natural-language questions to map onto previously validated query patterns instead of generating SQL from scratch. The most effective setups separate retrieval (find similar queries) from generation (adapt/combine them) and always pass domain + metric hints. This shifts analytics from dashboard-hunting to decision flows backed by a shared SQL memory, […]

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Writing sucked long before LLMs showed up. Sure, today’s doomsayers love pointing at ChatGPT as the villain — but they’re missing the point. Amateur blogs were copy-pasting each other’s content for years. “Serious” newsrooms published outright lies without blinking. We were already knee-deep in mediocrity. We just didn’t want to say it out loud. Here’s the part nobody wants to hear: people actually write better today. Yes, with AI’s help. And even ChatGPT’s worst hallucinations? They don’t come […]

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:::info Astounding Stories of Super-Science October 2022, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE MURDER OF ROGER ACKROYD – POIROT PAYS A CALL Astounding Stories of Super-Science October 2022: THE MURDER OF ROGER ACKROYD – POIROT PAYS A CALL By Agatha Christie ::: I was slightly nervous when I rang the bell at Marby Grange the following afternoon. I wondered very much what Poirot expected […]

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