303 skills found · Page 3 of 11
mousecpn / Boosting R CNN[Neurocomputing 2023] The official implementation of Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
Hazrat-Ali9 / Deep Learning AOI For PCBs Real Time YOLO Detection Of Missing Holes Mouse Bites Shorts And Spurs⚽ Deep ⚾ Learning 🥎 AOI PCBs is 🏀 an Automated 🏈 Optical 🎳 Inspection ⛸ system Printed 🎮 Circuit Boards ✈ using Deep 🚀 Learning 🚁 YOLO It enables 🚢 real time 🛸 defect detection 🛥 of critical PCB 🚈 issues like 🚒 missing holes 🚞 mouse bites 🏦 shorts and 🧱 spurs improving 🫑 manufacturing 🍅 accuracy reducing 🍏 human inspection errors
GemsLab / KGistKnowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
xirf / MaculaLightweight OCR error detection and correction engine built in Zig
ispras / Juliet DynamicJuliet C/C++ Dynamic Test Suite
Amirhosein-gh98 / GnosisCan LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
TajaKuzman / AchademioAI assistant, based on the GPT-3.5 model by OpenAI, designed to enhance your proficiency in writing research papers. Allows you to adapt your content to academic standards, transform bullet points into eloquent text, or enhance the quality of your writing through error detection.
kourenke / Infrared Small Target TrackingTo solve the problem of infrared (IR) small target tracking loss or error caused by factors such as scale changes, motion blur, occlusion, etc., this paper proposes a multi-strategy fusion tracking algorithm using an IR small target segmentation network as the detection head, which mainly includes six strategies.
GGLAB-KU / GecturkThe official implementation for the paper GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
gazalpatel / AI Chat BotThis repository includes Artificial Intelligence implementation in java language to create chatbot. Chat bot is created in Core Java and Swing Project using Eclipse IDE. Projects can be run on other IDE as command line application. This project includes AI specific reply based on user input, basic type-error detection, text processing and text prediction. I intend to improve this project using more use of Natural Language Processing and better Machine Learning Algorithm in future.
danielmuthama / Hamming CodeImplementation of Hamming Code error detection and correction in Python. Deployed in Telecommunication endpoints to detect and correct any errors encountered during packet delivery
ElevenLiy / MAKGEDMAKGED is the first multi-agent framework for collaborative error detection in knowledge graphs.
guidelabs / InfembedFind the samples, in the test data, on which your (generative) model makes mistakes.
metinaktas / Acoustic Direction Finding Using Single Acoustic Vector Sensor Under High ReverberationWe propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
HarborC / GrossErrorDetection摄影测量中的粗差检测算法
aolimelo / KgedKnowledge Graph Error Detection
IBM / PymserA Python library to apply the Marginal Standard Error Rule (MSER) for transient regime detection and truncation on Grand Canonical Monte Carlo adsorption simulations.
dipankarsk / Feature Selection HybridIntrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is then identified and steps are taken and methods are formed to classify and recognize attacks. Data set containing a number of records sometimes may decrease the classifiers performance due to redundancy of data. The other problems may include memory requirements and processing power so we need to either reduce the number of data or the number of records. Feature Selection techniques are used to reduce the vertical largeness of data set. This project makes a comparative study of Particle Swarm Optimization, Genetic Algorithm and a hybrid of the two where we see that PSO being simpler swarm algorithm works for feature selection problems but since it is problem dependent and more over its stochastic approach makes it less efficient in terms of error reduction compared to GA. In standard PSO, the non-oscillatory route can quickly cause a particle to stagnate and also it may prematurely converge on sub optimal solutions that are not even guaranteed to be local optimum. A further drawback is that stochastic approaches have problem-dependent performance. This dependency usually results from the parameter settings in each algorithm. The different parameter settings for a stochastic search algorithm result in high performance variances. In this project the modification strategies are proposed in PSO using GA. Experimental results show that GA performs better than PSO for the feature selection in terms of error reduction problems whereas hybrid outperforms both the model in terms of error reduction.
annu8055 / Intune Log Reader For Windows📊 Analyze and monitor Microsoft Intune Management Extension logs on Windows for real-time insights and error detection.
jiangnanboy / AutoText智能文本自动处理工具（Intelligent text automatic processing tool）。AutoText的功能主要有文本纠错，图片ocr、版面检测以及表格结构识别等。The main functions of this project include text error correction, ocr, layout-detection and table structure recognition.
