INTERNATIONAL CONFERENCE ON SENTIMENTAL

ANALYSIS AND DEEP LEARNING

(ICSADL 2020)

Conference Date: 2-3, April 2020

Venue: KGiSL Institute of Technology

Schedule for Presentation

Presentation Time: 20 Minutes

Presentation Format: Power Point Presentation (PPT)

CONFERENCE DAY 2

(3rd April 2020)

08.00am- 04.30 pm-Registration

09.30am-11.30 am-Session IV

11.15am-11.45am-Tea Break

11.30am- 01.30pm-Session V

12.30 pm-02.00 pm-Lunch break

01.45 pm -03.45 pm-Session VI

03.15 pm-04.15 pm-Tea Break

4.00 pm-5.00 pm-Session VII

5.00 pm-6.00 pm-Valedictory function

CONFERENCE DAY 1

(2nd April 2020)

08.00am-4.30pm-Registration

08.45am-09.15 am-Inauguration

09.15am-10.15 am-Keynote Address

10.15am-10.45 am-Tea Break

10.30am-12.30 pm-Session I

12.30pm-02.00 pm-Lunch Break

01.30pm-03.30 pm-Session II

03.15pm-04.15 pm-Tea Break

03.45pm-05.00 pm-Session III

Session-I || Sentimental Analysis-I

2nd

April 2020|| 10.30am-12.30 pm

TIME TITLE/AUTHOR NAME

10.30 AM TO

10.50 AM

CLASSIFICATION OF MARATHI TEXT USING HIERARCHICAL

ATTENTION(HAN) BASED ENCODER-DECODER MODEL

RUSHALI DHUMAL(DESHMUKH) , AND ARVIND KIWELEKAR

10.50 AM TO

11.10 AM

DEEP ENSEMBLE APPROACH FOR QUESTION ANSWER SYSTEM

KAVITA MOHOLKAR AND SUHAS PATIL

11.10 AM TO

11.30 AM

A REVIEW ON WORD EMBEDDING TECHNIQUES FOR TEXT

CLASSIFICATION

S.SELVA BIRUNDA, AND DR.R.KANNIGA DEVI

11.30 AM TO

11.50 AM

AN ENHANCED METHOD FOR REVIEW MINING USING N-GRAM

APPROACHES

KRISHNA PRESANNAKUMAR AND ANUJ MOHAMED

11.50 AM TO

12.10 PM

A LONG SHORT-TERM MEMORY (LSTM) MODEL USING FOR BUSINESS

SENTIMENT ANALYSIS BASED ON RECURRENT NEURAL NETWORK

MD. JAHIDUL ISLAM RAZIN, MD. ABDUL KARIM, M. F. MRIDHA, S M

RAFIUDDIN RIFAT, TAHIRA ALAM

12.10 PM TO

12.30 PM

TOWARDS EFFECTUAL GROUP FORMATION METHOD FOR

COLLABORATIVE LEARNING ENVIRONMENT

NEETA SARODE AND DR. J.W. BAKAL

Session-I || DEEP LEARNING -I

2nd

April 2020|| 10.30am-12.30 pm

TIME TITLE/AUTHOR NAME

10.30 AM TO

10.50 AM

STUDY OF EFFECTIVE MINING ALGORITHMS FOR FREQUENT

ITEMSETS

JASHMA SURESH P.P, DR. DINESH ACHARYA U, DR. N.V.SUBBA REDDY

10.50 AM TO

11.10 AM

A PRIVACY PRESERVING HYBRID NEURAL- CRYPTO COMPUTING BASED

IMAGE STEGANOGRAPHY FOR MEDICAL IMAGES

TEJAS JAMBHALE, SUDHA M

11.10 AM TO

11.30 AM

LANE DETECTION USING SLIDING WINDOW FOR INTELLIGENT GROUND

VEHICLE CHALLENGE

SAHIL SAMANTARAY, RUSHIKESH DEOTALE AND CHIRANJI LAL

CHOWDHARY

11.30 AM TO

11.50 AM

INTRUSION DETECTION: SPIDER CONTENT ANALYSIS TO IDENTIFY IMAGE

BASED BOGUS URL NAVIGATION

PONMANIRAJ SAMBASIVAM, DR. TAPAS KUMAR AND DR. AMIT KUMAR

GOEL

11.50 AM TO

12.10 PM

COMPLETE RECURRENT NEURAL NETWORK ACO-BCRNN

MR.J.RAMESH, DR. R.MANAVALAN

12.10 PM TO

12.30 PM

A QUANTUM MACHINE LEARNING CLASSIFIER MODEL FOR DIABETES

VASAVI KUMBARGERI, NITISHA SINHA AND SATYADHYAN CHICKERUR

Session-I || Sentimental Analysis-II

2nd

April 2020|| 10.30am-12.30 pm

TIME TITLE/AUTHOR NAME

11.30 AM TO

11.50 AM

AN AUTOMATIC VIOLENCE DETECTION TECHNIQUE USING 3D

CONVOLUTION NEURAL NETWORK

MD. ABDUL KARIM, MD. JAHIDUL ISLAM RAZIN, NAHID UDDIN

AHAMMED, MD SHOPON AND TAHIRA ALAM

11.50 AM TO

12.10 PM

MINING SOCIAL MEDIA DATA FOR UNDERSTANDING STUDENTS

LEARNING EXPERIENCES

ANURADHA, ATTADA HARIKA, NEELISETTY NIKITHA

Session-I || DEEP LEARNING -II

2nd

April 2020|| 10.30am-12.30 pm

TIME TITLE/AUTHOR NAME

11.10 AM TO

11.30 AM

MECHANISM FOR SAVING BASE STATIONS ENERGY USING BINARY

PARTICLE SWARM OPTIMIZATION

NAVIN DHINNESH ADC, SABAPATHI T

11.30 AM TO

11.50 AM

ENHANCED ANALYSIS OF BRAIN MR IMAGES FOR DETECTION OF

ABNORMAL TISSUES USING DEEP LEARNING

DR. JYOTINDRA DHARWA DR. SHIVANG PATEL

11.50 AM TO

12.10 PM

ADVANCEMENT IN CLASSIFICATION OF X RAY IMAGES USING RBFNN

WITH SUPPORT OF CANNY EDGE DETECTION MODEL

CMAK ZEELAN BASHA, Y.DIVYA,T. SRI HARIKA

12.10 PM TO

12.30 PM

SPEECH PARAMETER AND DEEP LEARNING BASED APPROACH FOR THE

DETECTION OF PARKINSON_S DISEASE

AKHILA KRISHNA SATYA PRAKASH SAHU REKH RAM JANGHEL BIKESH

KUMAR SINGH

Session-I || DEEP LEARNING -III

2nd

April 2020|| 10.30am-12.30 pm

TIME TITLE/AUTHOR NAME

10.50 AM TO

11.10 AM

A SURVEY ON RECENT ADVANCES IN CYBER ASSAULT DETECTION

USING MACHINE LEARNING AND DEEP LEARNING

PIYUSHA S PAKHARE SHOBA KRISHNAN NADIR N CHARNIYA

11.10 AM TO

11.30 AM

DEEP LEARNING TECHNIQUES FOR OPTICAL CHARACTER

RECOGNITION

NARAGUDEM SARIKA AND NAGESWARARAO SIRISALA

11.50 AM TO

12.10 PM

AUTOMATED SURVEILLANCE SECURITY SYSTEM USING FACIAL

RECOGNITION FOR HOMES AND OFFICES

GUNJAN BHARADWAJ, SHUBHAM SAINI, ANMOL KUMAR, AJEET

CHAUHAN AND PUNEET KUMAR

Session-II || Deep Learning-I

2nd

April 2020|| 1.30pm-3.30 pm

TIME

TITLE/AUTHOR NAME

1.30 PM TO

1.50 PM

ASPECT-BASED UNSUPERVISED NEGATIVE SENTIMENT ANALYSIS

MAINAK GHOSH, KIRTIKA GUPTA AND SEBA SUSAN

1.50 PM TO

2.10 PM

A COMPARATİVE STUDY OF CONVENTİONAL MACHİNE LEARNİNG AND

DEEP LEARNİNG MODELS TO FİND SEMANTİC SİMİLARİTY

AKSHİ SAXENA, PRANATİ SHETE, SONAL SHARMA AND NAİNA KAUSHİK

2.10 PM TO

2.30 PM

MULTIMODAL EMOTION ANALYTICS FOR E-LEARNING

J. SIRISHA DEVI, P. VIJAYA BHASKAR REDDY

2.30 PM TO

2.50 PM

REVIEW OF IMPROVISING AUTOMATIC SPEECH EMOTION RECOGNITION

PROBLEM USING DEEP LEARNING ALGORITHMS: CNN, RNN AND LSTM.

HAFSA QAZI AND BAIJNATH KAUSHIK

2.50 PM TO

3.10 PM

A HYBRID APPROACH TO REVIEW MINING - RESTAURANT DATA IN

DEPTH ANALYSIS

RAGHAVENDRA BABU POTTI, SREENIVAS S, VINAY VARMA UPPALPATI

SAI AND NEELIMA N

3.10 PM TO

3.30 PM

ANALYZING VOCAL PATTERNS FOR SPEECH EMOTION RECOGNITION

USING DEEP LEARNING

ARUNA BHAT, SHIVANSH AGARWAL, SHIVANSH GUPTA AND TUSHAR

GAUTAM

Session-II || SENTIMENTAL ANALYSIS -I

2nd

April 2020|| 1.30pm-3.30 pm

TIME TITLE/AUTHOR NAME

2.10 PM TO

2.30 PM

A REVIEW ON NATURAL LANGUAGE PROCESSING: BACK TO

BASICS

DR.P.M.DINESH, V.SUJITHA,C.SALMA,B.SRIJAYAPRIYA

2.50 PM TO

3.10 PM

EFFICIENT CONTROL OF TWO LINK RIGID ROBOTIC MANIPULATOR

SYSTEM USING SELF-TUNED FUZZY PID CONTROLLER

ADITI SAXENA, JITENDRA KUMAR AND RISHABH CHATURVEDI

3.10 PM TO

3.30 PM

PREDICTION OF INFLUENZA LIKE ILLNESS FROM TWITTER DATA AND ITS

COMPARISON WITH INTEGRATED DISEASE SURVEILLANCE PROGRAM

DATA

MONICA MALIK AND SAMEENA NAAZ

Session-II || SENTIMENTAL ANALYSIS -II

2nd

April 2020|| 1.30pm-3.30 pm

TIME TITLE/AUTHOR NAME

2.10 PM TO

2.30 PM

GRAPH-BASED HYBRID RECOMMENDATION MODEL TO ALLEVIATE

COLD-START AND SPARSITY ISSUE

ANGIRA PATEL AND JYOTINDRA DHARWA

2.30 PM TO

2.50 PM

COLOR IMAGE WATERMARKING IN DCT DOMAIN USING SVR

SHABNAM THAKUR RAJESH MEHTA GEETA KASANA

2.50 PM TO

3.10 PM

COLD START IN RECOMMENDER SYSTEMS – A SURVEY FROM DOMAIN

PERSPECTIVE

RACHNA SETHI MONICA MEHROTRA

Session-II || Deep Learning-II

2nd

April 2020|| 1.30pm-3.30 pm

TIME

TITLE/AUTHOR NAME

1.50 PM TO

2.10 PM

MULTİSTAGE MODEL FOR ACCURATE PREDİCTİON OF MİSSİNG VALUES

IN DATASET

POOJA RANİ RAJNEESH KUMAR ANURAG JAİN

1.50 PM TO

2.10 PM

RAİNROOF: AUTOMATED SHARED RAİNWATER HARVESTİNG

PREDİCTİON

VİPUL GAURAV, VİSHAL VİNOD , SANYAM KUMAR SİNGH, TUSHAR

SHARMA, PRADYUMNA KR, AND SAVİTA CHOUDHARY

2.10 PM TO

2.30 PM

VİSUAL ATTENDANCE RECORDİNG SYSTEM FOR CLASSROOM USİNG

FACİAL FEATURES

GUNJAN BHARADWAJ, POOJA PATHAK

2.30 PM TO

2.50 PM

ADAPTİVE FROST FİLTERED QUANTİLE REGRESSİVE ARTİFİCİAL DEEP

STRUCTURE LEARNİNG FRAMEWORK FOR IMAGE QUALİTY ASSESSMENT

DR.M.DHARMALİNGAM, S.SATHYAMOORTHY

2.50 PM TO

3.10 PM

PREDİCTİON OF CARDİOVASCULAR DİSEASE USİNG CLASSİFİCATİON

TECHNİQUES WİTH HİGH ACCURACY

P SİVA KUMAR,M SİVANİ, S PRAVALİKA,A S HARSHİNİ

Session-II || Deep Learning-III

2nd

April 2020|| 1.30pm-3.30 pm

TIME

TITLE/AUTHOR NAME

1.30 PM TO

1.50 PM

SIGN LANGUAGE RECOGNITION USING CONVOLUTIONAL NEURAL

NETWORK

SALAKAPURI RAKESH, AVINASSH BHARADHWAJ, E SREE HARSHA

1.50 PM TO

2.10 PM

FACE BASED ALUMNİ TRACKİNG ON SOCİAL MEDİA

DEEPTİ PRASAD, SHİVANİ BHARAMBE, RASİKA GAİWAL, SUPRİYA MORE

AND ASHWİNİ JARALİ

2.10 PM TO

2.30 PM

ALYCE : AN ARTIFICIAL INTELLIGENCE FINE-TUNED SCREENPLAY

WRITER

ELDHOSE K A, CHARLY JOSE, SIDDHARTH S, SREYA SARAH GEEJO, AND

SNEHA SREEDEVI

2.30 PM TO

2.50 PM

THE ADVENT OF DEEP LEARNING BASED IMAGE FORGERY TECHNIQUES

R. AGARWAL, O. P. VERMA,A. SAINI, A. SHAW, AND R.PATEL

2.50 PM TO

3.10 PM

CONVERGENCE OF A FINITE-TIME ZHANG NEURAL NETWORK FOR

MOORE–PENROSE MATRIX INVERSION

G. SOWMYA AND P. THANGAVEL

3.10 PM TO

3.30 PM

EDGE DETECTION ENHANCED INSTANCE SEGMENTATION AND DEEP

LEARNING BASED TIME SERIES FORECASTING FOR AUTOMATED SHARED

RAINWATER HARVESTING PREDICTION

VIPUL GAURAV, VISHAL V, TUSHAR SHARMA, PRADYUMNA KR

Session-III || SENTIMENTAL ANALYSIS -I

2nd

April 2020|| 3.45pm-5.00 pm

TIME TITLE/AUTHOR NAME

4.25 PM TO

4.45 PM

RATIONAL AGAINST IRRATIONAL CAUSES OF SYMPTOM RECOGNITION

USING DATA TAXONOMY

S.M MEENAATCHI DR.K.RAJESWARI

4.45 PM TO

5.05 PM

OPTIMIZING DECISION TREE CLASSIFICATION ALGORITHM WITH

KERNEL DENSITY ESTIMATION

A.RAJESHKANNA K.ARUNESH V.PREETHA

Session-III || DEEP LEARNING - I

2nd

April 2020|| 3.45pm-5.00 pm

TIME TITLE/AUTHOR NAME

4.25 PM TO

4.45 PM

CHANGE DETECTION IN REMOTE SENSED DATA BY PARTICLE SWARM

OPTIMIZED EDGE DETECTION IMAGE SEGMENTATION TECHNIQUE

SNEHLATA SHEORAN, DR NEETU MITTAL AND DR. ALEXANDER

GELBUKH

Session-III || DEEP LEARNING - II

2nd

April 2020|| 3.45pm-5.00 pm

TIME TITLE/AUTHOR NAME

4.05 PM TO

4.25 PM

CLASSIFICATION OF SKIN DISEASE USING TRADITIONAL MACHINE

LEARNING AND DEEP LEARNING APPROACH: A REVIEW

HONEY JANORIA JASMINE MINJ POOJA PATRE

Session-IV || SENTIMENTAL ANALYSIS - I

3rd

April 2020|| 09.30am - 11.30am

TIME TITLE/AUTHOR NAME

9.30 AM TO

9.50 AM

COMPARISON ANALYSIS OF EXTRACTING FREQUENT ITEMSETS

ALGORITHMS USING MAPREDUCE

SMITA CHORMUNGE AND RACHANA MEHTA

9.50 AM TO

10.10 AM

TWITTER SENTIMENT ANALYSIS USING SUPERVISED MACHINE LEARNING

OMKAR KUDALE, NIKHIL YADAV, ADITI RAO, SRISHTI GUPTA AND

AJITKUMAR SHITOLE

10.10 AM TO

10.30 AM

LEAF DETECTION USING HISTOGRAM OF ORIENTED GRADIENTS (HOG),

AND LOCAL BINARY PATTERNS (LBP) AND CLASSIFYING WITH SVM

UTILIZING CLAIM DATASET

FARHIN FARHAD RIYA, SHAH TUHIN AHMED

10.30 AM TO

10.50 AM

RETINAL IMAGE DIABETIC DETECTION USING MULTI LAYER PERCEPTRON

CLASSIFIER

SADHANA B,SAHANA B,DEEPTHI E,POOJA K,SHILPA B

Session-IV || DEEP LEARNING - I

3rd

April 2020|| 09.30am-11.30am

TIME TITLE/AUTHOR NAME

9.30 AM TO

9.50 AM

A DEEP LEARNING APPROACH TO DETECT LUMPY SKIN DISEASE IN COWS

GAURAV RAI NAVEEN AQUIB HUSSAIN AMIT KUMAR AKBAR ANSARI NAMIT

KHANDUJA

9.50 AM TO

10.10 AM

DEEP LEARNING BASED LEGAL SYSTEM ARCHITECTURE FOR AFRICA: AN

ARCHITECTURAL STUDY

RAJESH. L, LAKSHMI NARASIMHAN. V, MOEMEDI LEFOANE

10.10 AM

TO 10.30

AM

APPLICATIONS OF ASSOCIATION RULE MINING ALGORITHMS IN DEEP

LEARNING

SAI KISHORE, SUNEETHA K.R., AND VIKRAM BHUSHAN

10.30 AM

TO 10.50

AM

LOW LIGHT IMAGE ENHANCEMENT USING DEEP CONVOLUTIONAL NETWORK

DR.R. PRIYADARSHINI, MR.ARVIND BHARANI, MR. RAHIMANKHAN.E, MR. N.

RAJENDRAN

Session-V || DEEP LEARNING

3rd

April 2020|| 11.30am-1.30pm

TIME TITLE/AUTHOR NAME

11.30 AM

TO 11.50

AM

A DEEP LEARNING APPROCH FOR DETECTING AND CLASSIFYING CANCER

TYPES

G MURUGESAN , G.PREETHI , S. YAMINI

11.50 AM

TO 12.10 PM

RULE-BASED PART-OF-SPEECH TAGGER FOR ARABIC QUESTION ANSWERING

SYSTEM

SAMAH ALI AL-AZANI, C. NAMRATA MAHENDER

12.10 PM TO

12.30 PM

EMERGING ROLE OF INTELLIGENT TECHNIQUES FOR EFFECTIVE DETECTION

AND PREDICTION OF MENTAL DISORDERS

PRITI RAI JAIN, S.M.K. QUADRI

12.30 PM TO

12.50 PM

A DOCUMENT CLUSTERING TECHNIQUE USING SHARED NEAREST

NEIGHBOUR BASED SIMILARITY

MAUSUMI GOSWAMI

12.50 PM TO

1.20 PM

ROAD EXTRACTION TECHNIQUES FROM REMOTE SENSING IMAGES: A

REVIEW

DHANASHRI PATIL, SANGEETA JADHAV

Session-V || SENTIMENT ANALYSIS

3rd

April 2020|| 11.30am-1.30pm

TIME TITLE/AUTHOR NAME

11.30 AM

TO 11.50

AM

OPINION MINING OF AMENDED MOTOR VEHICLES ACT,2019

KANISHKA CHAUHAN , KARTIK MUDGAL AND KESHAV GOEL

11.50 AM

TO 12.10 PM

CUSTOMER LOOKALIKE MODELING A STUDY OF MACHINE LEARNING

TECHNIQUES FOR CUSTOMER LOOKALIKE MODELING

ANNA MARIAM CHACKO , BHUVANAPALLI ADITYA PRANAV,

BOMMANAPALLI VIJAYA, MADHVESH, AND DR. A. S. POORNIMA

12.10 PM TO

01.30 AM

LOAD BALANCING IN CLOUD COMPUTING ENVIRONMENT: A BROAD

PERSPECTIVE

MINAKSHI SHARMA, RAJNEESH KUMAR, AND ANURAG JAIN

Session-VI || DEEP LEARNING

3rd

April 2020|| 1.45pm-3.45pm

TIME TITLE/AUTHOR NAME

1.45 PM TO

2.05 PM

ROAD MAPPING USING ARTIFICIAL NEURAL NETWORK ON GAME FRAMES

AJAY SURYA, AADESH P, KAVIARASAN, AND BESCHI RAJA J

2.05 PM TO

2.20 PM

RIOT ALERTING AND MANAGEMENT SYSTEM USING ABNORMAL CROWD

DETECTION AND TRACKING

SAURABH FEGADE, ANIKET RANDIVE, VEDANT DALVI, ABHISHEK SINGH AND

PROF. SHEETAL PATIL

2.20 PM TO

2.40 PM

DEEP DOMAIN ADAPTATION APPROACH FOR CLASSIFICATION OF

DISASTER IMAGES

ANURADHA KHATTAR, S.M.K.QUADRI

2.40 PM TO

3.00 PM

A HYBRID LEARNING SYSTEM FOR TELECOM CHURN PREDICTION USING

ENSEMBLE LEARNING

SANDHYA G, SAMARPANA S, SANGEETHA VANI R

3.00 PM TO

3.20 PM

ELECTRONIC HEALTH RECORDS ANALYSIS OF LEPROSY PATIENTS USING

MACHINE LEARNING TECHNIQUES

JALPA MEHTA , MUKESH KALLA

3.20 PM TO

3.40 PM

PREDICTION OF CONGESTIVE HEART FAILURE (CHF) ECG DATA USING

MACHINE LEARNING

MANTHAN S. NAIK, TIRTH K. PANCHOLI, RATHNAKAR ACHARY

Session-VI || DEEP LEARNING - II

3rd

April 2020|| 1.45pm-3.45pm

TIME TITLE/AUTHOR NAME

1.45 PM TO

2.05 PM

EMOTION RECOGNITION FROM SPEECH USING DEEP LEARNING

MAYANK CHOURASIA, SHRIYA HARAL, SRUSHTI BHATKAR, SMITA KULKARNI

2.05 PM TO

2.20 PM

REVIEW OF DENOISING FRAMEWORK FOR EFFICIENT REMOVAL OF NOISE

FROM 3D IMAGES

ANAND B. DESHMUKH, DR. SANJAY V. DUDUL

2.20 PM TO

2.40 PM

FEATURE OPTIMIZED DEEP NEURAL NETWORK AS A MEDICAL DIAGNOSIS

ASSIST SYSTEM

KS GAUTAM, VISHNU KUMAR KALIAPPAN

2.40 PM TO

3.00 PM

A STUDY OF BLENDING ENSEMBLES FOR DETECTING BOTS ON TWITTER

SANJAY KUMAR, RYAN BANSAL AND RAGHAV MEHTA

3.00 PM TO

3.20 PM

FRESKO PISCES : FISH FRESHNESS IDENTIFICATION USING DEEP LEARNING

ANANDHU SURESH, ARATHI VINAYACHANDRAN, CHINJU PHILIP, JITHU

GEORGE VELLOOR, AND DR. ANJU PRATAP