Bandpass Threshold Models for Activation and Influence Propagation in Social Networks by Alexander Semenov, Alexander Veremyev, Eduardo L. Pasiliao, Vladimir Boginski

“…We observe that the processes of bandpass threshold activation/influence propagation can exhibit drastically different behaviors depending on initial choices of seed nodes, underlying network characteristics, and lower/upper threshold values.…”
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A distributed zero-trust scheme for airborne wireless sensor networks using dynamic identity authentication by Kenian Wang, Yuan Hong, Yue Li, Rui Yan, Jingyu Feng

“…Meanwhile, we maintain a Regularized Behaviors Data Blockchain (RBD_chain) to securely store the behavioral data of AWSN nodes, which facilitates traceability and prevents information tampering. …”
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…These challenges include denial-of-service (DoS) attacks, anomalous network behaviors, and data manipulation, which threaten the security and reliability of IoT ecosystems. …”
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MELD3: Integrating Multi-Task Ensemble Learning for Driver Distraction Detection by Gokhan Azizoglu, Ahmet Nusret Toprak

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A Modular Mathematical Model of the Immune Response for Investigating the Pathogenesis of Infectious Diseases by Maxim I. Miroshnichenko, Fedor A. Kolpakov, Ilya R. Akberdin

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Spatial proximity effects on cognitive processing of multimedia learning among college students: evidence from functional near-infrared spectroscopy by Yan Ma, Yan Ma, Qiuyue Peng, Qiuyue Peng, Bowen Long, Bowen Long

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Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering by Usama Ahmed, Mohammad Nazir, Amna Sarwar, Tariq Ali, El-Hadi M. Aggoune, Tariq Shahzad, Muhammad Adnan Khan

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ACP based parallel power generation control system by Guolian HOU, Linjuan GONG, Ye SU, Yaohua TANG

“…The power generation side control is the foundation of stable operation of power grid.However,the existing control methods cannot meet the growing demands of energy,environment,and human society to the power generation process.Therefore,the theory of ACP based parallel power generation control system was presented for the safety,high efficiency as well as environmental friendliness of power generation process.At first,the artificial power generation control system which is equivalent to the physical power generation control system was constructed.Secondly,the optimal model of power plant and its corresponding control strategy were chosen through the computational experiments of artificial control system to guide the operation of physical control system.Meanwhile,the behaviors of physical system were assessed for the approaching of artificial system.Then,the stable operation,maximum efficiency,and minimum energy consumption were achieved with the parallel execution of artificial control system and physical control system.Finally,the parallel control of gas turbine system in combined cycle power plant was taken as an example to demonstrate the feasibility and remarkable advantages of the adopted method.…”
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Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction. by William A Griffin, Xun Li

“…We review how this unsupervised learning technique generates plausible dyadic sequences that are sensitive to relationship quality and provide a natural mechanism for computational models of behavioral and affective micro-social processes.…”
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The spinal premotor network driving scratching flexor and extensor alternation by Mingchen Yao, Akira Nagamori, Sandrina Campos Maçãs, Eiman Azim, Tatyana Sharpee, Martyn Goulding, David Golomb, Graziana Gatto

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Huge splenomegaly, a rare presentation of multicentric Castleman’s disease in an HIV-infected patient: a case report and literature review by Malihe Hasannezad, Abdolkarim Haji Ghadery, Sara Ghaderkhani, Armin Vazirian, Fereshteh Ameli, Farid Azmoudeh-Ardalan, Mohammad Reza Rafiian Naini, Ladan Abbasian

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Hysteresis in Neuron Models with Adapting Feedback Synapses by Sebastian Thomas Lynch, Stephen Lynch

“…This opens the door to new insights in computational neuroscience and neuromorphic system design. …”
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Low responsiveness of machine learning models to critical or deteriorating health conditions by Tanmoy Sarkar Pias, Sharmin Afrose, Moon Das Tuli, Ipsita Hamid Trisha, Xinwei Deng, Charles B. Nemeroff, Danfeng Daphne Yao

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Synchronization Control of Complex Spatio-Temporal Networks Based on Fractional-Order Hyperbolic PDEs with Delayed Coupling and Space-Varying Coefficients by Chengyan Yang, Jin Wang, Muwei Jian, Jiashu Dai

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Performance Enhancement of Video Data Transmission in Vehicular Adhoc Networks by Nandhini Vineeth, H S Guruprasad

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Author Correction: Developing brain asymmetry shapes cognitive and psychiatric outcomes in adolescence by Xinran Wu, Kai Zhang, Nanyu Kuang, Xiangzhen Kong, Miao Cao, Zhengxu Lian, Yu Liu, Huanxin Fan, Gechang Yu, Zhaowen Liu, Wei Cheng, Tianye Jia, Barbara J. Sahakian, Trevor W. Robbins, Jianfeng Feng, Gunter Schumann, Lena Palaniyappan, Jie Zhang

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Explainable AI for zero-day attack detection in IoT networks using attention fusion model by Deepa Krishnan, Swapnil Singh, Vijayan Sugumaran

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Ambiguous facial expression detection for Autism Screening using enhanced YOLOv7-tiny model by Akhil Kumar, Ambrish Kumar, Dushantha Nalin K. Jayakody

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Empowering Education: Leveraging Clustering and Recommendations for Enhanced Student Insights by Kheira Ouassif, Benameur Ziani, Jorge Herrera-Tapia, Chaker Abdelaziz Kerrache

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Advancing Engineering Solutions with Protozoa-Based Differential Evolution: A Hybrid Optimization Approach by Hussam N. Fakhouri, Faten Hamad, Abdelraouf Ishtaiwi, Amjad Hudaib, Niveen Halalsheh, Sandi N. Fakhouri

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