ANFIS against LSTM: precipitation time series forecasting
machine learningtime seriesprecipitation
نمایه موضوعی
مقالات حوزه «_ Deep learning»
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Deep neural network learning for speech recognition
There has been a tonne of study on the use of machine learning for speech processing applications, particularly voice recognition, during the past fe…
deep learningspeech recognition_ Deep neural network
Detection of denial-of-service attacks in software defined networking based on traffic classification using deep learning
In recent years, the increasing popularity of theInternet and its applications has led to significant growth innetwork users Subsequently, the number…
Software-defined networkingtrafficclassificationdenial-of-service attacks
Image Quality Improving in the Field of Style Transfer based on Deep Learning
Recent studies have made great progress in the transfer of style in the image and various methods have made progress in this field However, evaluatin…
D-GANStyle TransferImage Quality
ارائه یک روش مبتنی بریادگیری عمیق جهت قطعه بندی تصاویر رادیولوژی جهت مراکز آموزشی درمانی
تصویربرداری اشعه ایکس یکی از قدیمی ترین، ساده ترین و کاربردی ترین روش های تشخیص پزشکی است که در بسیاری از کاربردها مانند تشخیص محل و نوع شکستگی استخو…
deep LearningImage SegmentationRadiology Image
Controller based on deep neural networks for SSVEP signal classification for control of Quadcopter-BMI System
Deep LearningEEG processingQuadqopter Control
Enhancing Multiclass Brain Tumor Classi cation through Boosting Data with Blurred and Gaussian Filters
This paper introduces a method to enhance classi cation performance byintegrating blurred and Gaussian ltered data into the training process We demon…
Deep learningPretrainednetworksFiltering techniques.
Valuation of Financial Variables in Iranian Companies Using Quasi-Process Correction with LSTM
This study aims to investigate the impact of various financial variables on the prediction of profitability and loss in public companies Utilizing fi…
LSTMCNNDeep learning
A survey on machine learning-based static analysis of Android malware
classificationandroid malwaremachine learning
Analysis Of The Corona Virus And Identification Of This Virus Using Deep Learning
CTchestdiagnosis
Urban Flood Susceptibility Mapping with Convolutional Neural Network and Explainable AI: Tehran Case Study
Urban flooding presents a major challenge to infrastructure resilience and public safety in rapidly growing cities including Tehran, the capital city…
Flood mappingCNNDeep Learning
Advancing Precision Oncology Decision-Making with Deep Learning: Integrating Genomic, Clinical, and Imaging Data
Precision oncology seeks to personalize cancer treatment by leveraging diverse data sources, yet integrating genomic, clinical, and imaging data rema…
Deep LearningPrecision OncologyGenomic Data
Most effective web mining and AI techniques in identifying technological innovation patterns in electrical engineering patent databases from ۲۰۱۰-۲۰۲۴
This review investigates the most effective AI and web mining techniques for identifying technological innovation patterns in electrical engineering…
Electrical engineeringDeep learningTechnological innovation
A Comparative Analysis of Deep Learning and Traditional Machine Learning for Real-Time Network Intrusion Detection
With the escalating complexity of cyber threats and the critical need for real time network intrusion detection and neutralization, this scoping revi…
Network Intrusion DetectionDeep LearningMachine Learning
Comparative Statistical Analysis of AI-Enhanced Sensors Functionalized with Diverse Nanomaterials: Sensitivity, Accuracy, and Environmental Resilience
The integration of artificial intelligence AI with nanotechnology has revolutionized sensor technology, driving advancements in environmental monitor…
nanomaterialssensitivityaccuracy
A Comparative Evaluation of Image Processing, Machine Learning, and Deep Learning Methods for Building Extraction from UAV Aerial Images
UNet.Building segmentationDeep learning
Customer Sentiment Analysis System
This paper examines the design, implementation, and technical details of a customer sentiment analysis system based on Artificial Intelligence AI The…
Customer Sentiment AnalysisDeep LearningFuzzy Logic
Artificial Intelligence in Biomedical and Photonic Nanomaterials: Current Applications and Future Outlook
Artificial IntelligenceNanomaterialsPredictive Modeling
Artificial Intelligence in Environment and Protection: Applications, Challenges, Future Directions
Natural ecosystems plus human societies are increasingly subjected to severe environmental degradation such as pollution and resource depletion and t…
Artificial IntelligenceEnvironmentSustainability
Application of Artificial Intelligence in the Development of Nanoreactors for Precise Chemical Synthesis: An Integrated Approach Based on Deep Learning, Advanced Statistical Analysis, and Multiscale Optimization
Nanoreactors represent cutting edge platforms for precise chemical synthesis, offering unprecedented control over reaction dynamics at the nanoscale…
Artificial IntelligenceDeep LearningReinforcement Learning
Application of Image Processing and Deep Learning in Logistics Automation and Freight Transportation Management
The rapid evolution of logistics automation and freight transportation management has been propelled by image processing and deep learning technology…
Logistics automationFreight transportationImage processing
کاربردهای نوین یادگیری عمیق در علوم زیستی، سلامت، محیط زیست و فناوری اطلاعات: مروری جامع بر پژوهش های اخیر
چکیده : یادگیری عمیق به عنوان یکی از شاخه های اصلی هوش مصنوعی، در سال های اخیر نقش پررنگی در تحلیل داده های پیچیده و تصمیم گیری های پیشرفته ایفا کرده…
Deep LearningCNNRNN
Leak Detection and Localization in Oil Pipelines Using a Hybrid CNN–LSTM Deep Learning Model
Leak detection and localization in oil pipelines are essential for maintaining operational safety and preventing environmental and economic losses in…
Leak DetectionLeak LocalizationDeep Learning
Time-Aware Transformer Framework for Diabetes Readmission Prediction
Diabetes is a chronic metabolic disorder that has become one of the major global health challenges due to its high prevalence and severe complication…
Hospital ReadmissionPredictive ModelingMachine Learning