GitHub

Python SAT Solver (DPLL + CDCL + VSIDS) – A from-scratch implementation of modern SAT solving algorithms with clause learning, non-chronological backtracking, heuristics, and ...

This project is my independent research into SAT solvers written entirely in Python, designed to explore the theory and practice of propositional satisfiability. It begins with a baseline DPLL ...
IEEE

Coded Deep Learning: Framework and Algorithm

Abstract: The success of deep learning (DL) is often achieved at the expense of large model sizes and high computational complexity during both training and post-training inferences, making it ...
Game Rant

How to Build a Deep Desert Base in Dune Awakening

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...
IEEE

Characterising Algorithm Debt in Machine and Deep Learning Systems

Abstract: Technical Debt (TD) refers to the long-term costs of suboptimal choices made for short-term gains. Algorithm Debt (AD), a type of TD, refers to the sub-optimal implementation of an algorithm ...
Journal of Medical Internet Research

A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation

Conclusions: Our findings demonstrate that compared with unimodal approaches, an integrated deep learning model incorporating both imaging and clinical data has greater diagnostic accuracy for MMP in ...
Frontiers

Deep reinforcement learning and robust SLAM based robotic control algorithm for self-driving path optimization

A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor ...