We offer sotware projects for final year enginnering, Diploma, M-Tech, Bsc, Bca, Msc, Mca students. We have vide variety of projects on networking, image processing, android, Secure computing, Data mining, Mobile computing etc. Projects are developed using JAVA, .Net, PHP, Ns2, Hadoop etc.
dkNET Webinar: The Human BioMolecular Atlas Program (HuBMAP) 10/14/2022dkNET
Abstract
HuBMAP aims to catalyze the development of an open, global framework for comprehensively mapping the human body at cellular resolution. HuBMAP goals include: (1) Accelerate the development of the next generation of tools and techniques for constructing high resolution spatial tissue maps. (2) Generate foundational 3D tissue atlases. (3) Establish an open data platform. (4) Coordinate and collaborate with other funding agencies, programs, and the biomedical research community. (5) Support projects that demonstrate the value of the resources developed by the program. The HuBMAP Portal can be found at https://portal.hubmapconsortium.org and the Visible Human MOOC describes the compilation and coverage of HuBMAP data, demonstrates new single-cell analysis and mapping techniques, and introduces major features of the HuBMAP portal.
The top 3 key questions that HuBMAP can answer:
1. What assay types are best to map the human body in 3D and across scales?
2. What Common Coordinate System (CCF) is best to construct the Human Reference Atlas?
3. How can others help construct and/or use the Human Reference Atlas?
Presenters:
Katy Börner, PhD, Victor H. Yngve Distinguished Professor of Engineering and Information Science, Department of Intelligent Systems Engineering and Information Science, Indiana University
Jeffrey Spraggins, PhD, Assistant Professor, Department of Cell and Developmental Biology, Vanderbilt University
Upcoming webinars schedule: https://dknet.org/about/webinar
We offer sotware projects for final year enginnering, Diploma, M-Tech, Bsc, Bca, Msc, Mca students. We have vide variety of projects on networking, image processing, android, Secure computing, Data mining, Mobile computing etc. Projects are developed using JAVA, .Net, PHP, Ns2, Hadoop etc.
dkNET Webinar: The Human BioMolecular Atlas Program (HuBMAP) 10/14/2022dkNET
Abstract
HuBMAP aims to catalyze the development of an open, global framework for comprehensively mapping the human body at cellular resolution. HuBMAP goals include: (1) Accelerate the development of the next generation of tools and techniques for constructing high resolution spatial tissue maps. (2) Generate foundational 3D tissue atlases. (3) Establish an open data platform. (4) Coordinate and collaborate with other funding agencies, programs, and the biomedical research community. (5) Support projects that demonstrate the value of the resources developed by the program. The HuBMAP Portal can be found at https://portal.hubmapconsortium.org and the Visible Human MOOC describes the compilation and coverage of HuBMAP data, demonstrates new single-cell analysis and mapping techniques, and introduces major features of the HuBMAP portal.
The top 3 key questions that HuBMAP can answer:
1. What assay types are best to map the human body in 3D and across scales?
2. What Common Coordinate System (CCF) is best to construct the Human Reference Atlas?
3. How can others help construct and/or use the Human Reference Atlas?
Presenters:
Katy Börner, PhD, Victor H. Yngve Distinguished Professor of Engineering and Information Science, Department of Intelligent Systems Engineering and Information Science, Indiana University
Jeffrey Spraggins, PhD, Assistant Professor, Department of Cell and Developmental Biology, Vanderbilt University
Upcoming webinars schedule: https://dknet.org/about/webinar
Focuz Technologies Offers IEEE projects for final year B.E, B.Tech, M.E and M.Tech students. Now 2011 and 2012 IEEE Projects are available in Networking, Knowledge and Data Engineering, Cloud Computing, Mobile Computing etc. We explain the IEEE project paper to our students and give a IEEE Project experience to them.
Focuz Technologies offers Live Project s & real time projects for MCA, M.Sc, B.Sc, BCA & Diploma students. Real Time projects are available for Dotnet, Java/J2EE and PHP.
Artificial Intelligence and Quantum Cryptography: A comprehensive analysis of...Petar Radanliev
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the future prospects of this interdisciplinary research area.
VariantSpark: applying Spark-based machine learning methods to genomic inform...Denis C. Bauer
Genomic information is increasingly used in medical practice giving rise to the need for efficient analysis methodology able to cope with thousands of individuals and millions of variants. Here we introduce VariantSpark, which utilizes Hadoop/Spark along with its machine learning library, MLlib, providing the means of parallelisation for population-scale bioinformatics tasks. VariantSpark is the interface to the standard variant format (VCF), offers seamless genome-wide sampling of variants and provides a pipeline for visualising results.
To demonstrate the capabilities of VariantSpark, we clustered more than 3,000 individuals with 80 Million variants each to determine the population structure in the dataset. VariantSpark is 80% faster than the Spark-based genome clustering approach, ADAM, the comparable implementation using Hadoop/Mahout, as well as Admixture, a commonly used tool for determining individual ancestries. It is over 90% faster than traditional implementations using R and Python. These benefits of speed, resource consumption and scalability enables VariantSpark to open up the usage of advanced, efficient machine learning algorithms to genomic data.
The package is written in Scala and available at https://github.com/BauerLab/VariantSpark.
Revolutionizing Cancer Research Immunohistochemistry and Digital Slide Scanne...ihc-prs
In the ever-evolving landscape of cancer research, two key players have joined forces to enhance our understanding of the disease – immunohistochemistry (IHC) and digital slide scanners. This dynamic duo is reshaping the way researchers visualize and analyze cancer tissues, offering unprecedented insights into the molecular intricacies of tumors.
Typical Soft Technologies is one of the leading Software Company located in Chennai that offers best Quality projects and training to all customers.
We also deliver all the finest Projects at many Students, Companies. Our Computer Courses Provides best future for the Students. If you want any of our projects & Courses, then contact us.
Admin@typical.in
044-43555140, 093443 99926.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt. Dreamweb Technosolutions:- 73/5,3rd FLOOR,SRI KAMATCHI COMPLEX OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX) SALAI ROAD,Trichy - 620 018, Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt.
Dreamweb Technosolutions:-
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt.
Dreamweb Technosolutions:-
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt. Dreamweb Technosolutions:- 73/5,3rd FLOOR,SRI KAMATCHI COMPLEX OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX) SALAI ROAD,Trichy - 620 018, Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt.
Dreamweb Technosolutions:-
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Focuz Technologies Offers IEEE projects for final year B.E, B.Tech, M.E and M.Tech students. Now 2011 and 2012 IEEE Projects are available in Networking, Knowledge and Data Engineering, Cloud Computing, Mobile Computing etc. We explain the IEEE project paper to our students and give a IEEE Project experience to them.
Focuz Technologies offers Live Project s & real time projects for MCA, M.Sc, B.Sc, BCA & Diploma students. Real Time projects are available for Dotnet, Java/J2EE and PHP.
Artificial Intelligence and Quantum Cryptography: A comprehensive analysis of...Petar Radanliev
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the future prospects of this interdisciplinary research area.
VariantSpark: applying Spark-based machine learning methods to genomic inform...Denis C. Bauer
Genomic information is increasingly used in medical practice giving rise to the need for efficient analysis methodology able to cope with thousands of individuals and millions of variants. Here we introduce VariantSpark, which utilizes Hadoop/Spark along with its machine learning library, MLlib, providing the means of parallelisation for population-scale bioinformatics tasks. VariantSpark is the interface to the standard variant format (VCF), offers seamless genome-wide sampling of variants and provides a pipeline for visualising results.
To demonstrate the capabilities of VariantSpark, we clustered more than 3,000 individuals with 80 Million variants each to determine the population structure in the dataset. VariantSpark is 80% faster than the Spark-based genome clustering approach, ADAM, the comparable implementation using Hadoop/Mahout, as well as Admixture, a commonly used tool for determining individual ancestries. It is over 90% faster than traditional implementations using R and Python. These benefits of speed, resource consumption and scalability enables VariantSpark to open up the usage of advanced, efficient machine learning algorithms to genomic data.
The package is written in Scala and available at https://github.com/BauerLab/VariantSpark.
Revolutionizing Cancer Research Immunohistochemistry and Digital Slide Scanne...ihc-prs
In the ever-evolving landscape of cancer research, two key players have joined forces to enhance our understanding of the disease – immunohistochemistry (IHC) and digital slide scanners. This dynamic duo is reshaping the way researchers visualize and analyze cancer tissues, offering unprecedented insights into the molecular intricacies of tumors.
Typical Soft Technologies is one of the leading Software Company located in Chennai that offers best Quality projects and training to all customers.
We also deliver all the finest Projects at many Students, Companies. Our Computer Courses Provides best future for the Students. If you want any of our projects & Courses, then contact us.
Admin@typical.in
044-43555140, 093443 99926.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt. Dreamweb Technosolutions:- 73/5,3rd FLOOR,SRI KAMATCHI COMPLEX OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX) SALAI ROAD,Trichy - 620 018, Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt.
Dreamweb Technosolutions:-
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt.
Dreamweb Technosolutions:-
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt. Dreamweb Technosolutions:- 73/5,3rd FLOOR,SRI KAMATCHI COMPLEX OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX) SALAI ROAD,Trichy - 620 018, Ph: 0431 4050403, 7200021403/04.
Here, IEEE Project titles 2016 available for (B.E/B.TECH,M.E/M.TECH)CSE, IT etc. We provide final year projects / Engineering projects / IEEE projects full documentation and ppt.
Dreamweb Technosolutions:-
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Ieee 2020
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