1,600 skills found · Page 15 of 54
risabhmishra / Algotrading Sentimentanalysis GenaiAlgorithmic Trading with Sentiment Analysis using GenAI
ashim888 / DataStructureAndAlgorithmData Structure using C and C++ | Design And Analysis of Algorithms
NeilYSJ / Advanced Algorithm Design And Analysis哈工大高级算法设计与分析研究生课程实验(2020春)
KaroRonty / SelfOrganizingStockMarketAnalysis of the US stock market using Kohonen's SOM algorithm
SalesforceLabs / ClusterAnalysisCluster analysis for Salesforce: Group records into clusters and visualize the result using ML algorithms
pChitral / Algorithmic Trading And Quantitative AnalysisA comprehensive guide to building an automated trading bot using Python, covering everything from data extraction to strategy backtesting and API integration for real-time trading.
SAP-samples / Hana Graph ExamplesSAP HANA includes a graph engine for network analysis. The examples demonstrate the usage of built-in algorithms, e.g. for path finding.
anetschka / Greek ScansionPython library for automatic analysis of Ancient Greek hexameter. The algorithm uses linguistic rules and finite-state technology.
ospaf / Ospaf PrimaryOspaf project is an open source project maturity analysis tool, is an open source project consists of two modules, namely, data acquisition module, machine learning modules. Through the open source project on github feature extraction, using machine learning algorithms modeling, to construct a scoring model on open source projects.
mikegianfelice / HunterHunter is a quant level crypto trading bot executing on-chain trades with live PnL, smart token scanning, microstructure analysis, and adaptive risk control. Uses weighted multi-factor analysis and heuristic algorithms for intelligent decision-making. Updated in real time. If you find this project useful, drop a ⭐️ to support it
rcheng805 / RShiftNMFCode for extraction of muscle synergies from EMG activity. The rShiftNMF algorithm decomposes the EMG into a set of neural commands (H) and activation pattern (W), with activation delays (T) between different muscle activations. Accounting for these delays, T, is important in analysis of EMG activity from spinal cord injury (SCI) patients.
santhu643 / Efficient Malware Detection System Using JADX AlgorithmEfficient Malware Detection System using JADX Algorithm This project aims to detect Android malware efficiently by analyzing APK files using the JADX decompiler. It performs static analysis on decompiled source code to identify malicious behavior based on extracted features.
ashtanko / Kotlin Lab📚 Algorithms, Data Structures, Design Patterns, Concurrency in Kotlin
programmingboy / Canadian Medicinal Plant Detection Using Convolutional Neural Network With Transfer LearningNowadays, computerized plant species classification systems are used to help the people in the detection of the various species. However, the automated analysis of plant species is challenging as compared to human interpretation. This research as been provided in this field for the better classification of plant species. Even now, these methodologies lack an exact classification of the plant species. The challenge is due to the inappropriate classification algorithm. In Particular, when we consider the medicinal plant species recognition, the accuracy will be the main criteria. In this research, the suggested system implements the deep learning technique to obtain high accuracy in the classification process using computer prediction methods.The Convolutional Neural Network (CNN) is employed beside transfer learning for deep learning of medicinal plant images. This research work has been carried out on the flower images dataset of four Canadian medical plants; namely, Clubmoss, Dandelion, Lobelia, and Bloodroot, which is fed as the training dataset for the CNN and machine learning-based proposed system. Finally, an accuracy of 96% has been achieved in classification of the medicinal plant species.
abdallahkhairy / GP Data Analysis And MLHuman locomotion affects our daily living activities. Losing limbs or having neurological disorders with motor deficits could affect the quality of life. Gait analysis is a systematic study of human locomotion, which is defined as body movements through aerial, aquatic, or terrestrial space. This analysis has been used to study people ambulation, registration, and reconstruction of physical location and orientation of individual limbs used to quantify and characterize human locomotion using different gait parameters including gait activities such as walking, stairs ascending/descending, … etc., phases, and spatiotemporal parameters of human gait. Additionally, gait analysis parameters can be used to evaluate the functionality of patients and wearable system users. The evaluation is based on patient's stability, energy consumption, gait symmetry, ability to recover from perturbations, and ability to perform activities of daily living. Many companies develop assistive, wearable, and rehabilitation devices for patients with lower limb neurological disorders. These devices are tested and evaluated inside controlled lab environments. However, they don’t have enough data on the patient's performance in real world and harsh environments. Collecting large datasets of device users and their gait performance data in real environment are notoriously difficult. Additionally, collecting data on less prevalent or on gait activities other than level walking, stair ascending/descending, sitting, standing, …etc. on hard surfaces is rarely attempted. However, the scope for collecting gait data from alternative sources other than traditional gait labs could be attained with the help of IoT data collection embedded on the wearable and assistive devices and well-established cloud platforms equipped with big-data analytics and data visualization capabilities. This project aims to develop a cloud platform capable of collect data from wearable and assistive devices such as prostheses, exoskeleton, gait analysis wearable sensors, …etc. using IoT technologies. This platform is capable of automatically use data mining and visualization tools. Additionally, it uses statistical and machine learning techniques to estimate gait events, gait symmetry, gait speed, gait activities, stability, energy consumption, …etc. Also, it is capable of predicting patient's progress over time. The project will be composed of two major components, hardware component and software component. In hardware component, the students will design and implement the IoT that collects the different readings for gait analysis and send them to the cloud. Meanwhile, in the software component, the students will design and implement a set of algorithms to visualize the collected data, then design and implement data analytics to automatically analyze the collected data, so that we can estimate gait events, gait symmetry, gait speed, classify gait activities, stability, energy consumption, …etc. and predicting patient's progress over time. By analyzing the collected data, the patient's progress can be predicted over time. Additionally, these data can be used through manufacturers of prostheses legs to improve their products, as well as through health-care centers to assess the patient's performance. The following figures describe the main modules of our graduation project.
yifanzhu1592 / Data Structures And Algorithm Analysis In CAll codes in the book "Data Structures and Algorithm Analysis in C (2nd Edition) (Mark Allen Weiss)"
hermesespinola / FOA Kmeans Color Image SegmentationClustering analysis using an evolutionary optimization algorithm based on nature, Forest Optimization Algorithm
nanthasnk / Black Friday Sales PredictionThis repository contain Data Analysis on Black Friday Sales Data using various Regression ML algorithms
hiveeyes / AudiohealthBee colony vitality using audio analysis. Applies machine learning algorithms in C++ from the OSBH project.
pranitbose / Market Basket AnalysisHadoop MapReduce implementation of Market Basket Analysis for Frequent Item-set and Association Rule mining using Apriori algorithm.
