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Team Members

• Sujan Acharya KCE074BCT043
• Sangat Rokaya KCE074BCT039
• Subin Timilsina KCE074BCT042
• Bibash Rajthala KCE074BCT014

Relevant Papers
1-s2.0-S187705091503207X-main.pdf
1-s2.0-S1877050916311619-main.pdf
1-s2.0-S1877050918307828-main.pdf
1-s2.0-S1877050919302789-main.pdf
1-s2.0-S1877050920304865-main.pdf
69.pdf
138am_82.EPRA Journals-4361.pdf
1004.pdf
1402.7351.pdf
1605.00003.pdf
1903.12258.pdf
1908.10122.pdf
2003.01859.pdf
2003.08137.pdf
2018Aninnovativeneuralnetworkapproachforstockmarketprediction.pdf
614342.pdf
5212256.pdf
08537242.pdf
234644513.pdf
301339822.pdf
000318326800008.pdf
A comprehensive evaluation of ensemble learning for stock-market prediction _ Journal of Big Data _ Full Text.pdf
A_Hybrid_Machine_Learning_System_for_Stock_Market_.pdf
ACM TOIS - Textual Analysis of Stock Market Prediction Using Financial News Articles.pdf
AGeneticFuzzyExpertSystemforStockPriceForecasting.PDF
Automated_news_reading_Stock_price_predi.pdf
CNNpred_revise2.pdf
DeepLearningforStockMarketPredictionUsingTechnicalIndicatorsandFinancialNewsArticles.pdf
Empirical_analysis_stock_market_predicti.pdf
fulltext.pdf
ICCOINS.2016.7783235.pdf
IEEEAICTMAsad2015published.pdf
IJCIRAS1092.pdf
IMECS2009_pp755-760.pdf
isda.2005.85.pdf
j.eswa.2015.07.052.pdf
j.procs.2018.05.050.pdf
Machine Learning Stock Market Prediction Studies.pdf
Machine_Learning_Techniques_for_Stock_Prediction.pdf
Mehmanpazir-Asadi2017_Article_DevelopmentOfAnEvolutionaryFuz.pdf
MLDLconfPaper2020_IEEE.pdf
Number_System_Oriented_Text_Steganograph.pdf
P07-1124.pdf
pahwa-2017-ijca-913453.pdf
paper.pdf
Paper_109.pdf
PID4798805.pdf
s12652-020-01839-w (1).pdf
s12652-020-01839-w.pdf
STOCK MARKET PREDICTION USING ENSEMBLE OF GRAPH THEORY MACHINE L.pdf
Stock_Market_Prediction_Using_Machine_Le.pdf
StockMarketPredictionTermPaper_Final1.pdf
StockMarketPredictionUsingMachineLearning_researchgate.pdf
U17-1001.pdf
Wang_2018_IOP_Conf._Ser.__Mater._Sci._Eng._322_052053.pdf
Wraper.pdf
2020.acl-main.197.pdf

• Aayush Musyaju (KCE074BCT004)
• Lucky Sington Shrestha (KCE074BCT021)
• Prashun Chitrakar (KCE074BCT030)

1. Learning Cross-modal Embeddings for Cooking Recipes and Food Images
2. Inverse Cooking: Recipe Generation from Food Images
3. Deep Cooking: Predicting Relative Food Ingredient Amounts from Images
4. Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
5. Ingredient-driven Recipe Generation Using Neural and Distributional Models

Project Title: Spam Detection in Chat Application

Members:

1. Prasanna Adhikari (KCE074BCT029)
2. Ankit Pradhan (KCE074BCT010)
3. Aakash Shrestha (KCE074BCT001)

Related Papers:

https://sci-hub.se/https://link.springer.com/chapter/10.1007/978-981-10-5780-9_2?fbclid=IwAR1TgmQusca1GqTHR5KXwMjmJGZrCoxON3S238Uv6xIOcZ-ghUaRsuLg9-w

https://sci-hub.se/https://www.sciencedirect.com/science/article/abs/pii/S0950705116300909?fbclid=IwAR3k-MUzJ2yy5NxF_ErYy_dHo8wd2kzMPp85Oa8WgOZhcVSlm0OXpHMDhIQ

https://sci-hub.se/https://ieeexplore.ieee.org/abstract/document/6246947?fbclid=IwAR1HLfX9rePrLX6xEO6_Q_dBPC1WllIXew4-4MjKtb_9OyM87rIqhGm24Vc

https://sci-hub.se/https://ieeexplore.ieee.org/abstract/document/4343765?fbclid=IwAR0AxYXbrbyQFWPUi_GgKzSP0Pq0aDFmskNagJ1diyFkVBAseNAlp4nKjO0

https://www.researchgate.net/publication/235916934_Intelligent_spam_classification_for_mobile_text_message
https://www.hindawi.com/journals/sp/2016/6091385/
https://ieeexplore.ieee.org/document/6798302
https://www.ijitee.org/wp-content/uploads/papers/v8i6s/F61690486S19.pdf

https://www.researchgate.net/publication/318298908_A_Systematic_Literature_Review_on_SMS_Spam_Detection_Techniques
https://www.researchgate.net/publication/322791510_Spam_Detection_on_Social_Media_Text
http://www.journalcra.com/article/spam-detection-im-images-using-convolutional-neural-networks
http://www.jsju.org/index.php/journal/article/view/564

https://www.researchgate.net/publication/330826186_A_Survey_On_Image_Spam_Detection_Techniques

https://www.hilarispublisher.com/open-access/development-of-cryptographybased-secure-messaging-system-2167-0919-1000142.pdf
https://www.sciencedirect.com/science/article/pii/S1742287619300210
https://getsession.org/wp-content/uploads/2020/02/Session-Whitepaper.pdf

Project Title: Floor Plan generation using GAN

Project Member:

1. Niranjan Bekoju (KCE074BCT025)
2. Luja Shakya (KCE074BCT022)
3. Sunil Banmala (KCE074BCT045)
4. Anusha Bajracharya (KCE074BCT011)

all paper are given here

Team Member :
Ajaya Thakur KCE074BCT007
Bibek Shyama KCE074BCT015
Ram Katwal KCE074BCT031
Shreejan Kisee KCE074BCT041

112_Report.pdf
1804.07871.pdf
2002.00444.pdf
Carla-simulator.pdf
A Deep Reinforcement Learning approcah.pdf

Team Members
-Abhinav Aryal KCE074BCT05
-Nabin Adhikari KCE074BCT23
-Om krishna Raut KCE074BCT27
-Samundra Dahal KCE074BCT38

Relevant papers

• 2012-Study of Implementing Automated Attendance System Using Face Recognition Technique.pdf

• 2014-IMPLEMENTATION OF CLASSROOM ATTENDANCE SYSTEM BASED ON FACE RECOGNITION IN CLASS.pdf

• 2015(C)-Attendance System based on Face Recognition using Eigen face and PCA Algorithms.pdf

• 2015-Deep Face Recognition.pdf

• 2015-FaceNet A Unified Embedding for Face Recognition and Clustering.pdf

• 2016-Student Attendance System in Classroom Using Face Recognition Technique.pdf

• 2017(C)-A Face Recognition Attendance System with GSM Notification.pdf

• 2018(C)-Smart Attendance Monitoring System (SAMS) A Face Recognition based Attendance System for Classroom Environment.pdf

• 2018-Face Recognition based Attendance Management System using Machine Learning.pdf

• 2018-Smart Attendance System Using CNN.pdf

• 2019(C)-Surveillance Camera using Face Recognition for automatic Attendance feeder and Energy conservation in classroom.pdf

• 2019-University Classroom Attendance System Using FaceNet and Support Vector Machine.pdf

• 2020-FACE RECOGNITION BASED ATTENDANCE SYSTEM USING MTCNN AND FACENET.pdf

• 2020-Implementing CCTV-Based Attendance Taking Support System Using Deep Face Recognition A Case Study at FPT Polytechnic College.pdf

• Whitepaper_IA_Facial recognition based attendance marking system_0.pdf

• 2001-Rapid Object Detection using a Boosted Cascade of Simple.pdf

• 2007-Class Room Attendance System Using Facial Recognition System.pdf

• 2019(C)-Face Recognition using FaceNet (Survey, Performance Test, and Comparison).pdf

• 2016-Joint face detection and alignment using multitask cascaded convolutional networks.pdf

• 2019-RetinaFace Single-stage Dense Face Localisation in the Wild.pdf

Group Members 👇👇

• Nirajan Prajapati (KCE074BCT024)
• Nirjal Prajapati (KCE074BCT026)
• Rohit Prajapati (KCE074BCT033)
• Sahas Prajapati (KCE074BCT037)

Related Papers and References

• Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks
• Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
• Real Time Gesture Recognition System for Interaction in Dynamic Environment
• A Real-time Hand Gesture Recognition andHuman-Computer Interaction System
• Skeleton-Based Dynamic Hand GestureRecognition Using a Part-Based GRU-RNNfor Gesture-Based Interface
• A novel shape matching descriptor for real-time hand gesture recognition
• Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image
• Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue
• A systematic review on hand gesture recognition techniques, challenges and applications
• Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method
• Vision-based hand signal recognition in construction: A feasibility study
• Hilbert sEMG data scanning for hand gesture recognition based on deep learning
• gelb2011.pdf

Members:
Aakriti Aganja (KCE074BCT003)
Oshin Gansi (KCE074BCT028)
Sujata Suwal (KCE074BCT044)

Papers:
https://link.springer.com/chapter/10.1007/978-3-030-58520-4_25
https://ieeexplore.ieee.org/abstract/document/1394652
https://openaccess.thecvf.com/content_ICCV_2017/papers/Yao_Boosting_Image_Captioning_ICCV_2017_paper.pdf
https://openaccess.thecvf.com/content_cvpr_2016/html/You_Image_Captioning_With_CVPR_2016_paper.html
http://nlp.cs.aueb.gr/theses/kougia_msc_thesis.pdf?fbclid=IwAR1lHLSWKGIAsTAR-DkAqifLrSs8hChuQSPJjkfYd3QveVPJpzecBeI1aZk
https://www.ripublication.com/ijaer18/ijaerv13n9_102.pdf?fbclid=IwAR3nCb2bvNiu1U8oOKZLS0LBmRU7f17EQH9EFai3k6CvbJWL7q5Ag13AQEc
https://ieeexplore.ieee.org/abstract/document/8697360?fbclid=IwAR1pAg63Dx3vftqLCNuJ1N8rfsWoakdbj2KdgoC5NegkYHsasNYpTeJHxOc
https://ieeexplore.ieee.org/abstract/document/8240966?fbclid=IwAR2bbde9GCA1ranbplF6kNpZhwE8ze4h6PzP4JHGBeFGOCMz5SC1uNjezmM
https://dl.acm.org/doi/abs/10.1145/3295748?fbclid=IwAR0Yyw_nl2PpaX7ek78wCrh9TBHqa7ytSW5w_Fz4sv5-sx3jAHEYabCvt9c

Project Title: Music from BALA: A Music Generation System

Project Member:
1) Basant Babu Bhandari (KCE074BCT013)
2) Aakask Raj Dhakal (KCE074BCT002)
3) Laxman Maharjan (KCE074BCT020)
4) Asmin Karki (KCE074BCT012)

Related Papers:

• http://mogren.one/publications/2016/c-rnn-gan/mogren2016crnngan.pdf
• https://www.koreascience.or.kr/article/CFKO201831342440804.pdf
• https://web.stanford.edu/~anayebi/projects/CS_224D_Final_Project_Writeup.pdf
• https://people.idsia.ch//~juergen/blues/IDSIA-07-02.pdf
• https://arxiv.org/abs/1611.03477
• https://arxiv.org/abs/1703.10847
• https://ojs.aaai.org/index.php/AAAI/article/view/11312
• https://ieeexplore.ieee.org/abstract/document/8334500
• https://link.springer.com/article/10.1007/s00521-020-05399-0
• https://arxiv.org/abs/2102.07960
• https://ieeexplore.ieee.org/abstract/document/8334500
• https://www.matec-conferences.org/articles/matecconf/abs/2021/05/matecconf_cscns20_06015/matecconf_cscns20_06015.html
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905163/

-Rojash Shahi KCE074BCT034
-Suraj Gosai KCE074BCT046
-Sachit Shrestha KCE074BCT036
-Abhishek Neupane KCE074BCT006
Research Paper
https://www.ijser.org/researchpaper/3D-GAME-DEVELOPMENT-USING-UNITY-GAME-EN-GINE.pdf
https://www.academia.edu/40811540/3D_Platformer_and_Sound_Design_in_Games
https://www.academia.edu/38298121/Video_Game_Project_Report_Riko_The_Adventurer
https://www.academia.edu/36217203/The_3D_Gaming_Project_Spartan_in_the_PUST_
https://www.researchgate.net/publication/261041851_Immersive_3D_modeling_with_Blender_and_off-the-shelf_hardware
https://www.researchgate.net/publication/322254869_Computer_parametric_designing_in_Blender_software_for_creating_3D_paper_models

Team Members:

Bikesh Sitikhu(KCE074BCT016)
Ratish Nyaichyai(KCE074BCT032)
Sabin Suwal(KCE074BCT035)
Sushil Dyopala(KCE074BCT048)

References:

• Dual Conditional GANs for Face Aging and Rejuvenation
• Learning Face Age Progression: A Pyramid Architecture of GANs
• AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs
• Learning Continuous Face Age Progression: A Pyramid of GANs
• AgeGAN++: Face Aging and Rejuvenation with Dual Conditional GANs
• Face Aging with Improved Invertible Conditional GANs
• Towards Explainable Face Aging with Generative Adversarial Networks