Advances in Networks, Intelligence and Computing Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023)

1 Dual band compact patch antenna for MM-wave 5G
application
Sachin Kumar Singh, Rohit Kumar Singh, Ritik Kumar,
Amanpreet Singh Saini and Ankit Sharma
2 Analyze crime patterns using space-time analysis framework
and performance measures evaluation with various machine
learning algorithm
Ganesan R. and Suban Ravichandran
3 A Comprehensive Review on Fake News Detection with Deep
and Machine Learning
Mickey Sahua and Dr. Harsh Lohiya
4 Real-time application for apple orchards disease detection
using embedded system and cloud services
Karuna Sheel and Dr. Anil Sharma
5 Public sensitive data exchange built on signatures for cloud
services
D. Dhinakaran, L. Srinivasan, B. Dharun, J. Sibi Aravind and
J. Mohamed Eshack
6 Optimized mechanism for allocating resources in a cloud
environment using frog and crow optimization algorithm
N. Jagadish Kumar, D. Dhinakaran, S. M. Udhaya Sankar,
S. Jindhiya Sree and A. Mounica
7 Optimizing diabetic retinopathy disease prediction using
PNAS, ASHA, and transfer learning

S. M. Udhaya Sankar, D. Dhinakaran, R. Selvaraj, Shrey
Kumar Verma, R. Natarajasivam and P. C. Praveen Kishore
8 Precisely predicting heart disease by examining the data analysis
C. Ambhika, T. P. Anish, D. Dhinakaran, E. Elavarasan,
K. Harish, and N.U. Pavan Kalyan
9 AI based real time vehicle speed detection using deep learning
Shivam Deswal, Sumir Srivastava and Dr. Nancy Gulati
10 Comparative study to detect effective data exchange protocols
for IoT based healthcare environment
Harish Kumar, Rajesh Kumar Kaushal, Naveen Kumar and
Ankit Bansal
11 A comprehensive analysis to identify effective tools and
technologies for remote patient monitoring
Shilpi Garg, Rajesh Kumar Kaushal and Naveen Kumar
12 Cloud with big data analytics and challenges in developing
countries
Jaspreet Singh Bajaj, Naveen Kumar, Rajesh Kumar Kaushal
and Kamal Saluja
13 Layout Analysis of Punjabi Newspapers Using Contour
Detection and Deep Learning-Based Model
Atul Kumar and Gurpreet Singh Lehal
14 A framework for initial detection of diabetes via machine
learning
Abid Farooq, Gaurav Kumar, Dr. Anamir Yousuf Bhat,
Dr. Khursheed Ahmad Dar, MD Alike and Akeel Farooq
15 Hybrid sentiment analysis based book recommendation system
Anil Kumar and Sonal Chawla
16 Comparative analysis of SDN controllers
Deepjyot Kaur Ryait and Manmohan Sharma
17 CryptoTrace: tracking cryptocurrency transactions with
blockchain technology
Kuldeep Vayadande, Sangam Patil, Sayee Chauhan,
Tanuj Baware, Rohit Gurav and Sameer Naik
18 Heart disease prediction by using machine learning algorithms
Khushi Sharma, Juhi Jain and Vishal
19 Optimizing power consumption by controlling electrical
appliances using computer vision
Adireddy Vasu, Pothula Srikanth, Keerthivasan,
Vivekananda Reddy Annapa Reddy, Tummala Yagna Gopal
and Swapnil Bagwari
20 Hybrid home automation system using IoT
Manish Das, Amandeep Kaur, Shahid Sadiq, Gregori Simran
Ekka and Tapas Kumar Ghosh
21 ML-based stress classification and detection using
multimodal affect dataset
Garima Mazumdar, Karan Singh and Divyashikha Sethia
22 Color image encryption and decryption using advanced
encryption standard
Ishav Raj Vardhan Student, Parambir Singh Phagwara,
Raunak Singh Shekhawat, Akash Kumar and Deepak
Kumar Sen
23 Multiple disease prediction using machine learning
Mohit Kumar, Nikhil Sahu, Shruti Kumari, Swaraj Senapati
and Sandeep Kaur
24 A comprehensive review of text summarization:
state-of-the-art approaches and challenges
Cephas Iko-Ojo Gabriel, Balraj Kumar, Md Irfan Alam,
Pramatma Vishwakarma, Shaik Nelofer and Km Mahima
Marwaha
25 Design of an AI-based binary class heart disease prediction
model for IoMT
Mohit Kumar Goel, Puli Surendra Reddy,
Sompalli Chaitanya Babu and Polisetti Saikiran
26 A review of artificial intelligence-based plant species
classification techniques
Roshnee Nameirakpam, Jatinder Singh, Parminder Singh
and Mustapha Hedabou
27 Deep learning-based automatic response generation for
amazon QA dataset
Akhil Chaurasia, Manthan Maheriya, Shubham Kumar,
Karan Mashru, Abhi Lunagariya, Alok Kumar and
Udai Pratap Rao
28 Enhancing thyroid disease detection with ensemble-based
machine learning algorithms
Subhadeep Dhar, Bolle Pavan, Pala Durga Venkata
Subrahmanyam and Ravula Ramakrishnad
29 IoT applications detect still images and loop videos in
real-time video conferences employing the hybrid
viola-jones method and haar cascade classifier
Ankit Raj Srivastava, Himesh Kumar Gauttam,
Pragati Suman, Kalpana Roy, Joyjit Patra and Subir Gupta
30 A web of science based bibliometric analysis on detecting
mental health disorders in children and adolescents: a global
perspective
Shweta Tiwari, Deepika Sharma, Neeru Sharma, Nidhi and
Mukesh Kumar
31 An overview of Stemming and Lemmatization Techniques
Vinay Kumar Pant, Dr. Rupak Sharma and Dr. Shakti Kundu
32 Stroke risk prediction model using machine learning techniques
Mukesh Kumar, Rahul Kumar, Abhishek Lagad and
Khalifa Musa Lawal
33 A robust ensemble model for disposition prediction using
the myersbriggstype indicator (MBTI) in machine learning
Gayathri R Varma, Aiswarya Mohan and Prasanna Kumar C V
34 Convolutional vision transformer for weed flora classification
in banana plantations
Kala K U, M. Nandhini, Kishore Chakkravarthi M. N.,
Thangadarshini M. and S. Madhusudhana Verma
35 Computer vision-inspired smart attendance system (SAS)
Ajay Kumar Bansal and Georgina Asuah
36 Machine and deep learning for accurate state-wide weather
forecasting: a case study of Telangana
Ranjit Kaur, Sourav Sutradhar, Pranav Prakash,
Ashish Jamuda and Sumanta Saha
37 Customer segmentation basedon RFM analysis and product
association rules for e-commerce
Shalabh Dwivedi and Amritpal Singh
38 Face recognition based attendance system using python
Jainendra Kumar, Aditya Pusp, Mohd Sahbaaz and
Amanjot Kaur
39 Performance-analysis of machine-learning models for
diabetes-prediction
AnushkaAgarwal, Dr. UpmaJain, Vipashi Kansal,
Ram Dewangan and Shruti Bhatla
40 Contemporary machine learning techniques for brain signal
processing -a systematic review
Anu Arora and Anurag Sharma
41 Prediction on most-valuable player selection in NBA using
machine learning algorithm
Rizul Sharma, Upinder Kaur and Rahul Singh
42 An efficient AES and security performance trade-off
Sandeep Kaur and Sarpreet Singh
43 Library automation an inevitable footstep towards
networked library system: case study of govt degree colleges
of Himachal Pradesh (India)
Anup Singh and Dr. Jatinder Kumar
44 Smart home system integration using internet of things
Pushpendra Verma, Dr. Jamal Akhtar Khan, Adil Khan,
Pawan Kumar, Allauddin Ali and Prince Kumar Singh
45 Landmark detection system
Abinash Prusty, Rahul Kumar, Dibyanshu Kumar Patra
and Rishabh Bhatia
46 Exploring factors affecting student placements:
acomprehensive analysis of demographics, academic
performance, and preparation activities
Javid Ahmad Khan, Pawan Kumar, Sanjay Sood,
Raghav Gupta and Sunny Gupta
47 Deep learning for disease detection in sugarcane leaves
Souravdeep Singh, Ram Kumar and Geeta Sharma
48 Brain tumor classification using convolutional neural networks
Chittem Harika and Ashu Mehta
49 Exploring state-of-the-art deep neural network-based
segmentation techniques for MRI tumor detection: a
comprehensive review and future trends
Samia Mushtaq, Tarandeep Singh Walia and Apash Roy
50 Smart farming using blynk server: for irrigation process, to
handle water lanes and providing security features through
wireless controller
Akash Badhan, Dr. Varsha Sahni, Abhishek Kumar
Maddheshiya, Aditya Roy and Karan Singh
51 Traffic eye: a deep learning approach for accurate traffic
sign detection & recognition (TSDR)
Dr V Sindhu, Manveen Kaur, Ritik Poonia and Sulaiman Mayar
52 Recognition of emotion through speech
Gorre Bhanu Pradeep Kumar, Nalluri Pradeep, G. Kaushik,
Kakimani Gokul, M. Prasanth and Tejinder Thind
53 Accuracy enhancement of textual data during sentiment
analysis in twitter using multinomial naive bayes
Hari Singh Meena, Ashutosh Kumar, Aryan Kumar Saxena,
Sneha Kapoor, Aniruddha Banerjee and Sameeksha Khare
54 Enhanced real-time face recognition security system using
LBPH algorithm
Jayesh Rawtiya, Varun Prakash, Aman Patidar, Shahbaz Khan
55 Graduation student academic performance analysis using
corelated feature model
Kandula Neha and Ram Kumar
56 Pixelforge: image revamping through text and image input
using pix2pix
Siddigan T M, Sudharsan G and A. G. Sanjay Ram
57 Kalman integration with ARIMA & LSTM 561
Hema Srivarshini Chilakala, N Preeti, Sreekar Praneeth Marri
and Murali K
58 Blockchain scalability solution using synchronization time
Dama Vamsi Krishna and Ravi Shanker
59 Improving job recruitment with an interview bot: a study on
NLP techniques and AI technologies
Anto Josu, Jasu Brinner and Athira B
60 Diabetes detection system using machine learning
Tatikonda Sai Murahari, Shivani Bharadwaj, Karanati
Sunil Reddy, Umang, Golla Tejeswar and Tenzin Lodhen
61 Darknet traffic-based intrusion detection system
Chaitanya Mehere, Isha Rathi, Kimaya Abhyankar,
Rahul Adhao and V K. Pachghare
62 The features of event extraction & its scope: a systematic
review
Manik Mehra and Varun Dogra
63 Impact of changing mobility speed on the performance of
various protocols in hybrid (RF/ VLC) wireless network
Prajakta A. Satarkar and Dr. Girish V. Chowdhary
64 Development of a smart pill box to aid the elderly with
their medication needs
Jyotirmoy Pathak, Avijit Poddar, Chayan Mukherjee,
Prashant Aarya, Tuhin Maity and Sayan Kumar Mandal
65 Breaking through the mist: an in-depth analysis of task
scheduling techniques in fog computing
Rahul Thakur, Urvashi Garg and Geeta Sikka
66 Fuzzy assignment model with fuzzy approach
Dr. Seema Mishra
67 Design of low-cost smart wheelchair system to provide
advance notifications related to pavement anomalies and
objects on the path
Harinder Pal Singh and Ramandeep Singh
68 Comprehensive review of VANET technology: an impeccable
study
Dr. Avinash Bhagat, Dr. Sonu Dua and Jobanpreet
69 Assessment of land use land cover change dynamics using
remote sensing techniques: a review
Bazila Farooq and Ankush Manocha
70 A robust hybrid deep learning model for acute lymphoblastic
leukemia diagnosis
Bakkanarappa Gari Mounika, Mohammad Faiz,
Nausheen Fatima and Ramandeep Sandhu
71 Effect of online gaming on mental health using machine
learning techniques
Shreyas Mohan, Souvik Khanagwal and Jasraj Meena
72 Deep long short-term memory network for forecasting prices
Taniya Chakraborty, Tanishka Choudhary and Saurav Singla
73 Price prediction of cryptocurrency using deep learning models
Anisha Sindhwani, Shefali Gosain, Anurag Rawat and
Dr. Supriya Raheja
74 An effective and reliable method for detecting brain tumors
in magnetic resonance images
Nallani Sravan Kumar, Gudimetla Sai Keerthi Reddy,
Kamireddi Vamsi, Pusala Bala Sai Venkat, Lingaladinei Manoj
and Narayanadas kamsali Susritha
75 Mitigating the catastrophic impact of 1947: an exploration
of the potential benefits of machine learning techniques for
disaster response and recovery
Mandeep Kaur, Pawan Kumar and Ramandeep Kaur
76 An exploratory analysis of feature extraction techniques
using NLP and text embedding methods
Sonia Rani and Dr Tarandeep Singh Walia
77 Cricket performance prediction: a data science method to
ODI player analysis
Akash Devkar, Rahul Kumar and Shuja Rashid
78 Student identity verification solution using verifiable
credentials on solana blockchain
Harishkumar Choudhary, Kalpesh Ahire and Rohini Sarode
79 A Review on Digital Image Forgery Detection
Rajneesh Yadav and Dr Urvashi Garg
80 Optimizing the Discovery of Web Services with QoS-Based
Runtime Analysis for Efficient Performance
Tadikonda Akshay Sampath, Nausheen Fatima,
Yerukola Vikas and Mohammad Faiz
81 Categorizing Brain Tumors from MR Images using CNN
and its Variants
Priyanka Mahajan and Prabhpreet Kaur
82 Key Management Protocol for Distributed Sensor Nodes
Dr. Vishal, Ms. Seema Kumari, Ms. Amandeep,
Ms. Satwinder and Mr. Ravinder
83 A proposed system for sentiment analysis using deep
learning for facial recognition
Aditi Gupta, Jasmin Bar and Dr. Nancy Gulati

Biography

Dr. Ashok Kumar

is currently working as Professor in Lovely Professional University, Punjab, India. He is PhD in Computer Science and Engineering from Thapar University, Punjab, India. He did Master of Technology (M. Tech.) in Computer Science and Engineering from Punjabi University, Patiala, India. He has 20+ years of teaching and research experience. He has filed 20 patents, out of that three patents have been granted. He has published several research articles in International Journals and Conferences of repute. His current areas of research interest include Cloud/Fog/Edge Computing, Internet of Things, and Machine learning. Further, he is supervising 4 PhD scholars and 2 ME students.

Dr. Geeta Sharma

is currently working as an Assistant Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. She has received her Ph.D. degree in Computer Science in full time from Guru Nanak Dev University, Amritsar, Punjab, India. She has received her master’s degree from the same University. She has 9 years of teaching and research experience. She has more than 25 research publications in International Journals and conferences. Her research is published in reputed SCI journals like Springer, Elsevier, and Taylor and Francis. She is an active reviewer in Springer and IEEE. She has 6 filed patents. Her research areas include Machine Learning, Fog/ Cloud computing, IoT and Network Security. Currently, she is supervising 4 PhD scholars.

Dr. Anil Sharma

is currently working as a Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. He has 23 years of teaching experience. He has more than 70 research publications in high reputed journals. His current areas of research interest include data science. He has supervised 5 PhD scholars.

Dr. Pooja Chopra

is currently working as an Associate Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. She has 18 years of teaching experience. She has more than 15 research publications in high reputed journals. Her current areas of research interest include Artificial Intelligence and Cloud Computing. She has filed 4 patents. She is supervising 1 PhD scholar.

Dr. Punam Rattan

is currently an Associate Professor and DII (Division of Industry Interface) at School of Computer Application Lovely Professional University in India. Along with dual master’s degrees in computer applications (MCA) and business administration (MBA), she graduated from IKG Punjab Technical University with a Ph.D. in computer applications. She has 20+ years of teaching experience. She is a prolific author, having published over 30 research papers in esteemed journals and conferences like IEEE Xplore, SCOPUS, and SCI-indexed publications, in addition to three books. Dr. Rattan has significantly advanced data mining and machine learning fields with his research. She is supervising 6 PhD scholar and 1 scholar has already turned in her thesis.