multidisciplinary-sciences

Documents about multidisciplinary-sciences

• Blockchain-based IoT integration for VAT photopolymerization additive manufacturing process security and transparency#345913Springer Nature OA
• Ontology-driven energy-efficient SAID framework for 5G and IoT networks using cryptographic techniques#372664Springer Nature OA
• IoT-based smart water billing system for accurate consumption monitoring and fair distribution#381291Springer Nature OA
• Sequential submodular feature-sample selection for lightweight and update-efficient IoT intrusion detection#477469Springer Nature OA
• Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks#654994Springer Nature OA
• Early detection of cyberattacks in renewable-integrated EV charging systems using transfer learning#1020733Springer Nature OA
• Dark heritage tourism education: effects of information-led versus narrative-led advertising appeals on tourists’ heritage preservation intentions#667006Springer Nature OA
• Decentralized federated deep Q-learning for IoMT security: leveraging MK-VQFHE and blockchain with IPFS#147695Springer Nature OA
• A dynamic light image enhancement algorithm using generative adversarial network for group activity recognition#147707Springer Nature OA
• Exploring the role of technological innovation and renewable energy in environmental sustainability across Asian economies#147719Springer Nature OA
• Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks#172274Springer Nature OA
• Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation#195002Springer Nature OA
• A blockchain-secured 6G smartgrid framework for resilient renewable energy integration and intelligent anomaly detection#196257Springer Nature OA
• Improving IoT security through an explainable hybrid CNN-transformer model and federated learning#233631Springer Nature OA
• A blockchain-assisted secure federated learning architecture for intrusion detection in internet of things networks#237353Springer Nature OA
• GraphDL: A visibility graph-based structural representation framework for flow-based cyber-attack detection#252043Springer Nature OA
• Intelligent adaptive frequency regulation of interconnected power networks under renewable uncertainty and time delays#328178Springer Nature OA
• Growth need strength promotes employee creativity through work reflection with visionary leadership as a moderator#328188Springer Nature OA
• A novel dynamic risk assessment tool for evaluating cybersecurity risks in the digital industry#341598Springer Nature OA
• Co-ADAM: a co-evolutionary signaling game framework for equilibrium cyber deception in industrial IoT#345914Springer Nature OA
• An edge-AI framework with graph transformer learning for resilient microgrid topology attack identification#359182Springer Nature OA
• Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring#382981Springer Nature OA
• An LLM-based synthetic data generation approach for addressing class imbalance in malicious traffic detection#397214Springer Nature OA
• A resource efficient IoT intrusion detection model using hybrid feature selection for edge computing#431827Springer Nature OA
• AI guided trust evaluation and quantum resistant certificate management for next-generation PKI security#435105Springer Nature OA
• Blockchain-Based Decentralized Intrusion Detection System (B-DIDS) for enhancing malware detection in distributed networks#470032Springer Nature OA
• An explainable hierarchical Fog–Cloud intrusion diagnosis framework for IoT ecosystems under imbalanced traffic conditions#470033Springer Nature OA
• Quantum computing-enhanced deep learning for real-time detection and mitigation of cyberattack patterns#648539Springer Nature OA
• A randomized field experiment comparing nudges and boosts for household electricity conservation in student housing#648551Springer Nature OA
• Digital-enabled life cycle thinking for sustainable food systems: aligning with sustainable development goals#928598Springer Nature OA
• Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access#137666Springer Nature OA
• Towards energy-efficient massive MIMO-NOMA systems with sigma–delta ADCs and group SIC detection#149526Springer Nature OA
• Time-lapse image analysis reveals trigger-dependent differences in ASC speck lifetime in the NLRP3 inflammasome#153896Springer Nature OA
• Cybersecurity vulnerabilities of variable speed limit signs and their effects on accident risk and traffic safety#159393Springer Nature OA
• Attention-driven fusion of sequential and graph neural models for insider threat detection in UEBA#164228Springer Nature OA
• Improving airport security with IoT-powered deep learning methods for threat detection and intelligent recommendation systems#237352Springer Nature OA
• Microbial evaluation of zirconia and titanium implants in the anterior mandibula: a randomized controlled clinical trial#252105Springer Nature OA
• Prevalence, risk factors, and antimicrobial resistance of Staphylococcus aureus in equines in Egypt#256178Springer Nature OA
• Deep CNN chaotic key generator for multi-parameter elliptic curves over cybersecurity image encryption application#313480Springer Nature OA
• Evidence for multiple motivational accounts of willful ignorance in prosocial decision making beyond moral wiggling#339218Springer Nature OA
• Operational cyber resilience assessment of edge IoT systems using a PH MMPP framework from IDS observable attack regimes#376524Springer Nature OA
• Parameter estimation of MO-qGEVL distribution under type II progressive censoring with application in environmental data#390119Springer Nature OA
• A hybrid deep learning and quantum computing framework enhances cybersecurity threat detection and analysis#419392Springer Nature OA
• Spatiotemporal characterization and graph-based interpretation of distributed denial of service attacks using deep learning#457954Springer Nature OA
• Adaptive context-aware hierarchical federated multi-agent reinforcement learning for scalable intrusion detection in industrial IoT#462553Springer Nature OA
• A quantum-inspired hybrid framework for ransomware detection using graph neural networks and support vector machines#479686Springer Nature OA
• An intelligent reinforcement learning enhanced improved LEACH protocol for prolonging wireless sensor network lifetime#483879Springer Nature OA
• Integrated design for rural microgrids in Egypt incorporating hydrogen energy and vehicle-to-grid technology#672710Springer Nature OA
• HED-ID: a federated expert system for interpretable and resource-adaptive intrusion detection on edge devices#928596Springer Nature OA
• Detection of internet of things network attacks by hybrid deep learning (CNN-LSTM) algorithm to enhance security#156470Springer Nature OA