This document contains titles and descriptions of research papers presented at IEEE conferences on cloud computing, big data, data mining, image processing, and analytics. The papers cover a wide range of topics related to these fields, including secure data storage and sharing in cloud environments, attribute-based encryption, privacy-preserving data mining and analytics, medical image analysis for disease detection and classification, and applications of deep learning to domains like ECG analysis and computer vision.

1. IEEE CLOUD COMPUTING
1. A SCALABLE ATTRIBUTE-BASED ACCESS CONTROL SCHEME WITH
FLEXIBLE DELEGATION CUM SHARING OF ACCESS PRIVILEGES FOR
CLOUD STORAGE
2. AN ATTRIBUTE-BASED CONTROLLED COLLABORATIVE ACCESS CONTROL
SCHEME FOR PUBLIC CLOUD STORAGE
3. SECURE PHRASE SEARCH FOR INTELLIGENT PROCESSING OF ENCRYPTED
DATA IN CLOUD-BASED IOT
4. AN EFFICIENT ABE SCHEME WITH VERIFIABLE OUTSOURCED ENCRYPTION
AND DECRYPTION
5. CRYPT-DAC: CRYPTOGRAPHICALLY ENFORCED DYNAMIC ACCESS
CONTROL IN THE CLOUD
6. CHARON: A SECURE CLOUD-OF-CLOUDS SYSTEM FOR STORING AND
SHARING BIG DATA
7. A FOG-CENTRIC SECURE CLOUD STORAGE SCHEME
8. AN EFFICIENT AND PRIVACY-PRESERVING BIO METRIC IDENTIFICATION
SCHEME IN CLOUD
9. CLASS: CLOUD LOG ASSURING SOUNDNESS AND SECRECY SCHEME FOR
CLOUD FORENSICS
10. DROPS: DIVISION AND REPLICATION OF DATA IN CLOUD FOR OPTIMAL
PERFORMANCE AND SECURITY
11. A SECURE CLIENT-SIDE FRAMEWORK FOR PROTECTING THE PRIVACY OF
HEALTH DATASTORED ON THE CLOUD
12. PROFIT MAXIMIZATION FOR CLOUD BROKERS IN CLOUD COMPUTING
13. PAIRING-FREE CP-ABE BASED CRYPTOGRAPHY COMBINED WITH
STEGANOGRAPHY FOR MULTIMEDIA APPLICATIONS
14. A PRIVACY-PRESERVING MULTI-KEYWORD RANKED SEARCH OVER
ENCRYPTED DATA IN HYBRID CLOUDS
15. AN ATTRIBUTE-BASED AVAILABILITY MODEL FOR LARGE SCALE IAAS
CLOUDS WITH CARMA
16. LIGHTWEIGHT SHAREABLE AND TRACEABLE SECURE MOBILE HEALTH
SYSTEM
17. TOWARD PRACTICAL PRIVACY-PRESERVING FREQUENT ITEM SET MINING
ON ENCRYPTED CLOUD DATA
18. A PARALLEL AND FORWARD PRIVATE SEARCHABLE PUBLIC-KEY
ENCRYPTION FOR CLOUD-BASED DATA SHARING
19. A DECRYPTABLE ATTRIBUTE-BASED KEYWORD SEARCH SCHEME ON
EHEALTH CLOUD IN
20. INTERNET OF THINGS PLATFORMS
21.LIGHTWEIGHT AND PRIVACY-PRESERVING ID-AS-A-SERVICE
PROVISIONING IN VEHICULAR CLOUD COMPUTING

2. BIGDATA
REVOCABLE ATTRIBUTE-BASED ENCRYPTION SCHEME WITH EFFICIENT
DEDUPLICATION FOR EHEALTH SYSTEMS
ACHIEVING EFFICIENT AND PRIVACY-PRESERVING CROSS-DOMAIN BIG
DATA DEDUPLICATION IN CLOUD
SECURE ENCRYPTED DATA WITH AUTHORIZED DEDUPLICATION IN CLOUD
SENTIMENT ANALYSIS OF COMMENT TEXTS BASED ON BILSTM
PPHOPCM: PRIVACY-PRESERVING HIGH-ORDER POSSIBILISTIC C-MEANS
ALGORITHM FOR BIG DATA CLUSTERING WITH CLOUD COMPUTING
MR-MAFIA: PARALLEL SUBSPACE CLUSTERING ALGORITHM BASED ON
MAPREDUCE FOR LARGE MULTI-DIMENSIONAL DATASETS
CIPHERTEXT-POLICY ATTRIBUTE-BASED SIGNCRYPTION WITH
VERIFIABLE OUTSOURCED DESIGNCRYPTION FOR SHARING PERSONAL
HEALTH RECORDS
EFFICIENT PROCESSING OF SKYLINE QUERIES USING MAPREDUCE
SECURE SENSITIVE DATA SHARING ON A BIG DATA PLATFORM
A SECURE AND VERIFIABLE ACCESS CONTROL SCHEME FOR BIG DATA
STORAGE IN CLOUDS
Data Mining Projects
1. ULTRA-SCALABLE SPECTRAL CLUSTERING AND ENSEMBLE
CLUSTERING
2. MULTI-PARTY HIGH-DIMENSIONAL DATA PUBLISHING UNDER
DIFFERENTIAL PRIVACY
3. KNOWLEDGE ACQUISITION APPROACH BASED ON INCREMENTAL
OBJECTS FROM DATA WITH MISSING VALUES
4. A CONSTRAINED RANDOMIZATION APPROACH TO INTERACTIVE
VISUAL DATA EXPLORATION WITH SUBJECTIVE FEEDBACK

3. 5. ANALYSIS OF UNIVERSITY FITNESS CENTER DATA UNCOVERS
INTERESTING PATTERNS, ENABLES PREDICTION
6. GRAPH K-MEANS BASED ON LEADER IDENTIFICATION, DYNAMIC GAME
AND OPINION DYNAMICS
7. ENHANCED PRIVACY PRESERVING GROUP NEAREST NEIGHBOR SEARCH
8. PRIVACY ENGINEERING FOR THE SMART MICRO-GRID
9. COMQA: QUESTION ANSWERING OVER KNOWLEDGE BASE VIA
SEMANTIC MATCHING
10. QUANTIFYING DIFFERENTIAL PRIVACY IN CONTINUOUS DATA
RELEASE UNDER TEMPORAL CORRELATIONS
IMAGE PRCESSING
A NEW AUTOMATED SIGNAL QUALITY-AWARE ECG BEAT CLASSIFICATION
METHOD FOR UNSUPERVISED ECG DIAGNOSIS ENVIRONMENTS
FAST QRS DETECTION AND ECG COMPRESSION BASED ON SIGNAL
STRUCTURAL ANALYSIS
ARRHYTHMIA RECOGNITION AND CLASSIFICATION USING ECG
MORPHOLOGY AND SEGMENT FEATURE ANALYSIS
NOISE REJECTION FOR WEARABLE ECGS USING MODIFIED FREQUENCY
SLICE WAVELET TRANSFORM AND CONVOLUTIONAL NEURAL NETWORKS
ECG BASELINE WANDER CORRECTION AND DENOISING BASED ON
SPARSITY
DEEP NEURAL NETWORK BASED APPROACH FOR ECG CLASSIFICATION
USING HYBRID DIFFERENTIAL FEATURES AND ACTIVE LEARNING
DISCRIMINATIVE PATTERN MINING FOR BREAST CANCER
HISTOPATHOLOGY IMAGE CLASSIFICATION VIA FULLY CONVOLUTIONAL
AUTO ENCODER
MULTIPLE RESOLUTION RESIDUALLY CONNECTED FEATURE STREAMS
FOR AUTOMATIC LUNG TUMOR SEGMENTATION FROM CT IMAGES

4. ULTRA WIDE BAND, STABLE NORMAL AND CANCER SKIN TISSUE
PHANTOMS FOR MILLIMETER-WAVE SKIN CANCER IMAGING
PATH R-CNN FOR PROSTATE CANCER DIAGNOSIS AND GLEASON GRADING
OF HISTOLOGICAL IMAGES
A NOVEL DEEP FLEXIBLE NEURAL FOREST MODEL FOR CLASSIFICATION
OF CANCER SUBTYPES BASED ON GENE EXPRESSION DATA
BCRAM: A SOCIAL-NETWORK-INSPIRED BREAST CANCER RISK
ASSESSMENT MODEL
ANALYTICS OF HETEROGENEOUS BREAST CANCER DATA USING NEURO
EVOLUTION
CROSS-VIEW SELF-SIMILARITY USING SHARED DICTIONARY LEARNING
FOR CERVICAL CANCER STAGING
AN END-TO-END DEEP LEARNING HISTOCHEMICAL SCORING SYSTEM FOR
BREAST CANCER TMA
A NOVEL MULTI-STAGE FUSION BASED APPROACH FOR GENE
EXPRESSION PROFILING IN NON-SMALL CELL LUNG CANCER
CLASSIFICATION OF BREAST CANCER HISTOLOGY IMAGES USING MULTI-
SIZE AND DISCRIMINATIVE PATCHES BASED ON DEEP LEARNING
ANALYZING THE DYNAMICS OF LUNG CANCER IMAGING DATA USING
REFINED FUZZY ENTROPY METHODS BY EXTRACTING DIFFERENT
FEATURES
UNSUPERVISED FEATURE EXTRACTION VIA DEEP LEARNING FOR
HISTOPATHOLOGICAL CLASSIFICATION OF COLON TISSUE IMAGES
IN-VIVO HYPERSPECTRAL HUMAN BRAIN IMAGE DATABASE FOR BRAIN
CANCER DETECTION
A HYBRID FEATURE EXTRACTION METHOD WITH REGULARIZED
EXTREME LEARNING MACHINE FOR BRAINTUMOR CLASSIFICATION
CONTENT-BASED BRAIN TUMOR RETRIEVAL FOR MR IMAGES USING
TRANSFER LEARNING
MACHINE LEARNING APPROACH-BASED GAMMA DISTRIBUTION FOR
BRAIN TUMOR DETECTION AND DATA SAMPLE IMBALANCE ANALYSIS

5. RESEARCH ON FEATURE EXTRACTION OF TUMOR IMAGE BASED ON
CONVOLUTIONAL NEURAL NETWORK
ENHANCED MR IMAGE CLASSIFICATION USING HYBRID STATISTICAL AND
WAVELETS FEATURES
BRAIN MRI IMAGE CLASSIFICATION FOR CANCER DETECTION USING DEEP
WAVELET AUTOENCODER-BASED DEEP NEURAL NETWORK
A MODIFIED DEEP CONVOLUTIONAL NEURAL NETWORK FOR ABNORMAL
BRAIN IMAGE CLASSIFICATION
AUTOMATED DIABETIC RETINOPATHY DETECTION BASED ON BINOCULAR
SIAMESE-LIKE CONVOLUTIONAL NEURAL NETWORK
DEVELOPMENT OF AN AUTOMATED SCREENING SYSTEM FOR
RETINOPATHY OF PREMATURITY USING A DEEP NEURAL NETWORK FOR
WIDE-ANGLE RETINAL IMAGES
DIAGNOSIS OF DIABETIC RETINOPATHY USING DEEP NEURAL NETWORKS
AUTOMATED ANALYSIS FOR RETINOPATHY OF PREMATURITY BY DEEP
NEURAL NETWORKS
BRAIN NETWORK ANALYSIS OF COMPRESSIVE SENSED HIGH-DENSITY
EEG SIGNALS IN AD AND MCI SUBJECTS
EEG PATHOLOGY DETECTION BASED ON DEEP LEARNING
EEG-BASED AGE AND GENDER PREDICTION USING DEEP BLSTM-LSTM
NETWORK MODEL
RECOGNITION AND ANALYSIS OF MOTOR IMAGERY EEG SIGNAL BASED
ON IMPROVED BP NEURAL NETWORK
MULTILEVEL WEIGHTED FEATURE FUSION USING CONVOLUTIONAL
NEURAL NETWORKS FOR EEG MOTOR IMAGERY CLASSIFICATION