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