Image de couverture de livre

A CHAOS-BASED HYBRID IMAGE ENCRYPTION SCHEME USING DNA ENCODING AND DEEP NEURAL NETWORK KEY GENERATION

Fuente: Zenodo

Enregistré dans:

Détails bibliographiques
Auteur principal:	alsaadi, lamis alsaadi
Format:	Recurso digital
Publié:	Zenodo 2025
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A CHAOS-BASED HYBRID IMAGE ENCRYPTION SCHEME USING DNA ENCODING AND DEEP NEURAL NETWORK KEY GENERATION
par: alsaadi, lamis alsaadi
Publié: (2025)

HUMAN GAIT RECOGNITION FOR BIOMETRIC IDENTIFICATION USING DEEP NEURAL NETWORK
par: Aqsa Akram,Naila Batool,Dr.Umair Muneer Butt,Dr. Imtiaz Hussain
Publié: (2025)

POTATO DISEASE CLASSIFICATION USING DEEP LEARNING: A CONVOLUTIONAL NEURAL NETWORK APPROACH
par: Jawad Akbar,Ahmad Bilal,Muhammad Ayoub Kamal,Laiq Muhammad Khan
Publié: (2025)

DETECTION OF MALARIA CELL USING IMAGE DATASET WITH CONVOLUTIONAL NEURAL NETWORK BY VICTOR EBRI
par: Ebri, Victor
Publié: (2025)

AN OBLIVIOUS AND ROBUST MULTIPLE IMAGE WATERMARKING SCHEME USING GENETIC ALGORITHM
par: IJMA
Publié: (2026)

GARCH MODEL INDENTIFICATION USING NEURAL NETWORK
par: André Machado Caldeira
Publié: (2014)

POST-QUANTUM CRYPTOGRAPHY-BASED NTRU ENCRYPTION ALGORITHM AND ENCRYPTION WITH POLYNOMIALS
par: D.T. Muhamediyeva, Tagaev Farkhad Abduvahabovich
Publié: (2025)

HYBRID DEEP LEARNING INTEGRATION ON ADVERSIAL NETWORK FOR AN ACCURATE AGRICULTURAL SEQUENCE DATA PREDICTION
par: Journal of Theoretical and Applied Information Technology
Publié: (2025)

ARTIFICIAL NEURAL NETWORK APPLICATION FOR CASCADING FAILURE MITIGATION IN RENEWABLE POWER GENERATION PLANTS
par: S.N EMECHETA, et autres
Publié: (2025)

INVESTIGATING THE IMPACT OF FEATURE SELECTION METHODS ON THE PERFORMANCE OF DEEP NEURAL NETWORKS FOR IMAGE RECOGNITION TASKS
par: Researcher
Publié: (2025)

NEURAL NETWORK BASED SYSTEM IDENTIFICATION OF A PMSM UNDER LOAD FLUCTUATION
par: JABID QUIROGA
Publié: (2009)

IDENTIFYING THE ORGANIZERS OF THE GSM STANDARD'S GENERAL NETWORK SCHEME
par: Alimardonov, Shoxruh
Publié: (2025)

LEAF DISEASE SEVERITY ESTIMATION IN ARABICA COFFEE USING A HYBRID DEEP LEARNING APPROACH
par: Hafza Eman,Amna Shakeel,Ahmad Hassan
Publié: (2025)

DIMENSIONAL ADAPTIVE S-BOX (1D/2D) GENERATION FOR VARIABLE-SIZED MEDIA ENCRYPTION
par: Firas Abdulla Mahmood, et autres
Publié: (2026)

USING A DYNAMIC ARTIFICIAL NEURAL NETWORK FOR FORECASTING THE VOLATILITY OF A FINANCIAL TIME SERIES
par: Juan D. Velásquez
Publié: (2013)

NETWORK CLASSIFIER FOR IMAGE RECOGNITION
par: Kashish Mirza
Publié: (2026)

ANOMALY DETECTION IN NETWORK TRAFFIC USING A HYBRID MODEL OF K-MEANS CLUSTERING AND AUTOENCODERS
par: Apurva Kishor Gawde and Sunita Jena
Publié: (2025)

NOVEL APPROACH TO IMPROVE GEOCENTRIC TRANSLATION MODEL PERFORMANCE USING ARTIFICIAL NEURAL NETWORK TECHNOLOGY
par: Yao Yevenyo Ziggah
Publié: (2017)

STUDY AND ANALYSIS OF DEEP LEARNING FOR IMAGE RESTORATION
par: Y. Tresa
Publié: (2025)

AUTOMATED APPLE LEAF DISEASE CLASSIFICATION USING DEEP CONVOLUTIONAL NEURAL NETWORKS: A COMPARATIVE STUDY ON THE PLANTVILLAGE DATASET
par: Cavanshir Zeynalov, et autres
Publié: (2025)

TIME SERIES FORECASTING BY USING A NEURAL ARIMA MODEL BASED ON WAVELET DECOMPOSITION
par: Eliete Nascimento Pereira
Publié: (2016)

DEEP LEARNING APPROACH AS A TOOL FOR SUSTAINABILITY HYPOTHESIS GENERATION
par: Tamer Sh. Mazen, Ahmed R. Mohamed, Sherin M. Omran
Publié: (2026)

ISOLATION OF THE ACTIN-ENCODING cDNA OF KURUMA SHRIMP MARSUPENAEUS JAPONICUS
par: Maeda, M., Saitoh, H., Itami, T., Takahashi, Y., Mizuki, E., Ohba, M
Publié: (2002)

GENERATION OF CR MAMMOGRAPHIC IMAGE FOR EVALUATION QUALITY PARAMETERS
par: Mabel Bustos Flores
Publié: (2019)

REACTIVE CONTROL SCHEME BASED ON FUZZY BEHAVIORS FOR MOBILE ROBOT
par: Orlando Zapata-Cortés
Publié: (2020)

AN INTERPOLATING CURVE SUBDIVISION SCHEME BASED ON DISCRETE FIRST DERIVATIVE
par: ALBEIRO ESPINOSA BEDOYA
Publié: (2013)

REAL TIME VIDEO-BASED SURVEILLANCE DETECTION SYSTEM USING DEEP LEARNING FOR SECURITY APPLICATIONS
par: IJESAT
Publié: (2026)

CHARACTERIZING LARGE-SCALE HYBRID-MANUFACTURED TOOL DURABILITY THROUGH A SMALL-SCALE COMPOSITE PROCESS SCHEME
par: Joshua Ilse, et autres
Publié: (2023)

IMAGE CLASSIFICATION USING CNN
par: Journal of Next Generation Technology
Publié: (2025)

ACOUSTIC RESONANCE ENCODING AT POVERTY POINT
par: Rios, Abelardo
Publié: (2026)

A KERNEL-BASED MULTI-FEATURE IMAGE REPRESENTATION FOR HISTOPATHOLOGY IMAGE CLASSIFICATION
par: J. MORENO
Publié: (2010)

SIMULATING AND ANALYZING SIGNATURE-BASED NETWORK INTRUSION DETECTION SYSTEMS USING MACHINE LEARNING TECHNIQUES
par: Issah, Peter Paul, et autres
Publié: (2022)

LBA4 | DEEP LEARNING‐BASED IMAGE ANALYSIS OF PRETREATMENT FDG‐PET/CT PREDICTS CAR T‐CELL TREATMENT OUTCOME AT 12 MONTHS
par: S. J. Schuster, et autres
Publié: (2025)

RICE GUARD: A HYBRID DEEP LEARNING APPROACH FOR RICE LEAF DISEASE DETECTION
par: Sujal N. Bolke, Prathamesh P. Kumbhar, Nilesh S. Kulkarni and Laxman G. Mulik
Publié: (2026)

USING CHAOS THEORY AS A FRAMEWORK TO EXPLAIN THE NATURE OF COMPLEXITY IN CONTEMPORARY ORGANIZATIONS
par: Miguel B. Llora
Publié: (2016)

A NOVEL HYBRID EVALUATION FRAMEWORK FOR COMPARING AI-BASED ESSAY GRADING WITH HUMAN ASSESSMENTS USING THE DREsS DATASET
par: Kishor Kumar,Sajid Ahmed,Ahsan Chandio,Muhammad Akmal
Publié: (2026)

NOISE FILTERING AND DEEP LEARNING-BASED RECONSTRUCTION METHODS FOR IMPROVING IMAGE QUALITY IN MOBILE X-RAY EQUIPMENT UNDER LOW-DOSE RADIATION CONDITIONS
par: 1D.A. Umarova, 1N.S. Yusupova, 1F.Q. Shakarov, et autres
Publié: (2026)

ENHANCED SECURITY ENCRYPTION FILE ACCESS AT COLEGIO DE MONTALBAN: INTEGRATING BIOMETRICS AND NEAR FIELD COMMUNICATION WITH ADVANCED ENCRYPTION STANDARD
par: Astillero, Rocendo
Publié: (2025)

OPTIMIZATION OF BURR SIZE, SURFACE ROUGHNESS AND CIRCULARITY DEVIATION DURING DRILLING OF AL 6061 USING TAGUCHI DESIGN METHOD AND ARTIFICIAL NEURAL NETWORK
par: Reddy Sreenivasulu
Publié: (2015)

DEEP GAUSSIAN PROCESSES AND INFINITE NEURAL NETWORKS FOR THE ANALYSIS OF EEG SIGNALS IN ALZHEIMER’S DISEASES
par: KRISHNA ROMÁN
Publié: (2022)