LATEST RESEARCH TOPICS IN DEEP LEARNING

LATEST RESEARCH TOPICS IN DEEP LEARNING

A complete review in Deep Learning (DL) is a crucial survey in the recent research area. Here we practically direct   to find the conditions of the art, gaps in the study and to improve new research questions.

            We begin by identifying the similar search terms and keywords to discover research papers in educational journals and conferences. We always stay updated for blog posts, tutorials, and other resources from industry experts to conduct a literature view on our study to make the better outcome of our research work.

            After we gather the relevant papers, we read them cautiously and note it down. We pay attention for the following questions:

  • What are all the issues that researchers intend to address?
  • What are the methods do they take?
  • What are the outcomes do they accomplish?
  • What are the challenges in their task?

            In the next step we should combine the collected information and detect the basic patterns and identifications. We should also find any gaps in the research and any latest research questions that have risen.

            At last, we write a research paper which is well-organized and simple to read by outlining our findings and results. Our report is significantly cited for the readers which make them to get the original sources easily.

Here are few samples of titles that we can cover in our comprehensive survey in DL:

  • Algorithms in DL: We can include the survey with various kinds of DL frameworks like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and transformers.
  • Applications of DL: We ensure to extend the review of how DL is being used in various domains like healthcare, finance and manufacturing.
  • Challenges in DL: The major concerns that the researchers face while developing and deploying the DL models with necessary data, computational resources and framework understanding are the limitations we need to include in our report.

            We stay updated, find gaps and develop new study problems on the recent research by a well-defined literature review. It is an important tool for a researcher and someone who is working in DL.

INNOVATIVE DISSERTATION TOPICS IN DEEP LEARNING

Enrol yourself for novel topics ideas we offer latest and hot topic ideas where you can select according to your interest.  Our team of comprises of more than 500 experts talented researchers, developers and writers, our work principle is to be dedicated by maintaining the highest moral standards and deliver affordable and provide effective solutions tailored to your unique research needs.

latest research ideas and current topics in deep learning
  1. Deep Learning-aided Successive Interference Cancellation for MIMO-NOMA
  2. Deep Learning: A Powerful Framework for the Real-Time Solution of Inverse Scattering Problems
  3. A Deep Learning-Based Detector for IM-MIMO-OFDM
  4. Minimizing the Number of Views in Few-View Computed Tomography: a Deep Learning Approach
  5. Plasma Parameter Inversion Base on Deep Learning Approach
  6. Research on Market Risk Measurement of Foreign Exchange in the International Trade Based on Deep Learning
  7. Deep Learning Based Radar Target Classification Using Micro-Doppler Features
  8. Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images
  9. Investigating Protection of Deep Learning Visual Features on ECB Encrypted Images
  10. A Deep Learning Based Macro Circuit Modeling for Black-box EMC Problems
  11. Sarcasm Identification in text with deep learning models and Glove word embedding
  12. Identification of Car Make and Model Using Deep Learning and Computer Vision Techniques
  13. DeepSentiParsBERT: A Deep Learning Model for Persian Sentiment Analysis Using ParsBERT
  14. The Importance of High-Speed Storage in Deep Learning Training
  15. UAV Dynamic Tracking Algorithm Based on Deep learning
  16. The Ethics of Rehabilitation in Virtual Reality: the role of Self-Avatars and Deep Learning
  17. Multi-label Classification of Remote Sensing Image Based on Deep Learning on Embedded Device
  18. Evaluation of the Deep Learning-Based m-Health Application Using Mobile App Development and Assessment Guide
  19. Highway Surveillance System Using Deep Learning Artificial Neural Networks
  20. Mobile deep learning processors on the edge
  21. LSTM based Deep Learning Technique to Forecast Internet of Things Attacks in MQTT Protocol
  22. Deep Learning-based Real-time Segmentation for Edge Computing Devices
  23. An MWD Channel Estimation Method Based on Deep Learning
  24. Grid Text Retrieval based on Deep Learning
  25. Intrusion Detection in Software Defined Network Using Deep Learning Approach
  26. Towards Automation for MLOps: An Exploratory Study of Bot Usage in Deep Learning Libraries
  27. A Review on Textual Question Answering with Information Retrieval and Deep Learning Aspect
  28. A Monocular Camera Depth Estimate Approximation using Deep learning
  29. Using Deep Learning for Positive Reviews Prediction in Explainable Recommendation Systems
  30. Hardware Acceleration of YOLO-based Convolutional Neural Network Detector by Deep Learning Processor Unit for Intelligent Autonomous Mover
  31. Bayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation
  32. Deep Learning Aided Channel Estimation in OFDM Systems
  33. Analysis and Application of Deep Learning in Novel MEMS Capacitive Pressure Sensor
  34. Robustness Evaluation of Deep Learning Models Based on Local Prediction Consistency
  35. A Deep Learning Scheme for Integrated Active and Passive Beamforming in Reconfigurable Intelligent Surface Aided Wireless MISO Networks
  36. A Deep Learning based Model for Predicting the future prices of Bitcoin
  37. Sentiment analysis for product rating using a deep learning approach
  38. Systematic Design and Mode Construction of Mixed Teaching From the Perspective of Deep Learning
  39. A Survey on Deep Learning Classification Algorithms for Motor Imagery
  40. Deep Learning based Emotion Recognition IoT System
  41. Applying Deep Learning Kernel Function for Species Identification System
  42. LSTM and ResNets Deep Learning Aided End-to-End Intelligent Communication Systems
  43. Development of Image Processing Based on Deep Learning Algorithm
  44. HAT: Hybrid Adversarial Training to Make Robust Deep Learning Classifiers
  45. Detection and classification of painting defects using deep learning
  46. Deep Learning in Fuzzing: A Literature Survey
  47. Implementation of Deep Learning in Beamforming for 5G MIMO Systems
  48. Deep Learning Model to Improve Security in IOT Systems
  49. Deep Learning in Object Oriented Software Engineering: A Case Of Stability
  50. Research on Face Recognition Technology Fusion Deep Learning Under Different Light Intensity Changes
Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

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