Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

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Adaptive Positioning Control of Multi-Point Moorings with Disturbance Observation Under Input Constraints by Run Lu, Guichen Zhang, Ru Liu, Chaojian Gao, Wei Chen, Huanglong Fu

“…Simultaneously, the adaptive law of the σ-corrected leakage term is employed to estimate the bound of the disturbance observation error, thereby enhancing positioning accuracy. …”
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Dynamic Modeling and Adaptive Robust Synchronous Control of Parallel Robotic Manipulator for Industrial Application by Haiqiang Zhang, Hairong Fang, Qi Zou, Dan Zhang

“…If part of the complexity is resulting from uncertainties, an effective manner for coping with these problems is adaptive robust control. In this paper, we proposed three types of adaptive robust synchronous controllers to solve the trajectory tracking problem for a redundantly actuated parallel manipulator. …”
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Adaptive Hybrid Visual Servo Regulation of Mobile Robots Based on Fast Homography Decomposition by Chunfu Wu, Guodong Li, Qingshun Tang, Fengyu Zhou

“…Finally, Lyapunov-based techniques are exploited to construct an adaptive regulation control law, followed by the experimental verification. …”
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Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment by Ranhui Liu, Xinyan Hu, Chengyuan Zhang, Chuanxi Liu

“…In order to acquire the commonly used model and control strategy for ventilator systems, a new universal ventilator model is established based on the blast capacity differential pressure in the ventilating duct and the ventilator motor model. Then, an adaptive Chebyshev neural network (ACNN) controller is proposed to effectively control the ventilator system where the unknown load torque and the unknown disturbance caused by the complex environment under the shaft are approximated by the Chebyshev neural network (CNN). …”
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Template switching during DNA replication is a prevalent source of adaptive gene amplification by Julie N Chuong, Nadav Ben Nun, Ina Suresh, Julia Cano Matthews, Titir De, Grace Avecilla, Farah Abdul-Rahman, Nathan Brandt, Yoav Ram, David Gresham

“…Our study reveals that template switching during DNA replication is a prevalent source of adaptive CNVs.…”
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A privacy budget adaptive optimization scheme for federated computing power Internet of things by MA Wenyu, CHEN Qian, HU Yuxiang, YAN Haonan, HU Tao, YI Peng

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Enhancing sidewalk accessibility assessment for wheelchair users: An adaptive weighting fuzzy-based approach by Maryam Naghdizadegan Jahromi, Najmeh Neysani Samany, Meysam Argany, Mir Abolfazl Mostafavi

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Adaptive Conflict-Free Optimization of Rule Sets for Network Security Packet Filtering Devices by Andrea Baiocchi, Gianluca Maiolini, Annachiara Mingo, Daniele Goretti

“…Our work joins the two issues in an innovative way and defines a traffic adaptive algorithm to find conflict-free optimized rule sets, by relying on information gathered with traffic logs. …”
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Lightweight defense mechanism against adversarial attacks via adaptive pruning and robust distillation by Bin WANG, Simin LI, Yaguan QIAN, Jun ZHANG, Chaohao LI, Chenming ZHU, Hongfei ZHANG

“…Adversarial training is one of the commonly used defense methods against adversarial attacks, by incorporating adversarial samples into the training process.However, the effectiveness of adversarial training heavily relied on the size of the trained model.Specially, the size of trained models generated by the adversarial training will significantly increase for defending against adversarial attacks.This imposes constraints on the usability of adversarial training, especially in a resource-constraint environment.Thus, how to reduce the model size while ensuring the robustness of the trained model is a challenge.To address the above issues, a lightweight defense mechanism was proposed against adversarial attacks, with adaptive pruning and robust distillation.A hierarchically adaptive pruning method was applied to the model generated by adversarial training in advance.Then the trained model was further compressed by a modified robust distillation method.Experimental results on CIFAR-10 and CIFAR-100 datasets showed that our hierarchically adaptive pruning method presented stronger robustness under various FLOP than the existing pruning methods.Moreover, the fusion of pruning and robust distillation presented higher robustness than the state-of-art robust distillation methods.Therefore, the experimental results prove that the proposed method can improve the usability of the adversarial training in the IoT edge computing environment.…”
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Integrating Indigenous Knowledge into Sustainable Forest Management for Climate Change Adaptation and Mitigation Strategies by Mokhamad Asyief Khasan Budiman, Hiroki Oue

“… Frequent natural disasters and extreme weather increase the vulnerability to climate change in rural communities living near forests. Climate change adaptation and mitigation strategies related to forest management should consider indigenous knowledge in accordance with local community conditions and needs. …”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…This paper is then devoted to studying the problem of developing a cost-effective and adaptive repair strategy (ARS). First, we establish an IoT botware propagation model that fully captures the state evolution of an IoT network under attack and defense interventions. …”
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Synergistic Meta-Heuristic Adaptive Real-Time Power System Stabilizer (SMART-PSS) by Khaled Aleikish, Jonas Kristiansen Noland, Thomas Oyvang

“…However, the integration of low-inertia, inverter-based renewable energy resources (RES) has led to rapid fluctuations in power dispatch, rendering non-adaptive PSSs obsolete. This paper presents a novel hybrid gray-box modeling approach for real-time adaptation of PSS parameters during operation, thereby enabling the PSS to effectively handle a broader range of operating conditions. …”
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Adaptive guaranteed time slots allocation policy in wireless sensor networks with mobility awareness by LI Xiao-ji1, CHEN Chen1, QIU Hong-bing2, MO Wei2

“…To improve the connectivity in mobile wireless sensor networks,an adaptive GTS（guaranteed time slot） allocation algorithm with nodal mobility awareness was proposed.At first,the nodal location in next state was given by Kalman filters forecasting model.Then,a method that considered velocity,direction and relative mobility was used to define mobility level,based on which the nodal priorities for GTS reservation could be determined initially.Subsequently,the priorities could be adjusted adaptively according to the usage status feedback from allocated slots.Finally,the priorities could be used to determine the order for using GTS and the right of use an extra reservation slot.Simulation results show that the proposed scheme could increase the success rate of random access and ensure a lower average packets transmission delay and higher delivery ratio.Furthermore,with the adaptive adjustment scheme for reservation priorities base on usage feedback,the rate of correct utilization of allocated slots is increased significantly in the overall networks.…”
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First Aid Guidelines for Allergic Reaction, Seizure and Diabetic Emergency: Educational Approach and Adaptation

“…This approach was designed so that users of the Guidelines are easily able to apply them through adaptation to relevant learner contexts, contextualization to different levels of resources and medical care, and local implementation strategies.For medical conditions such as allergic reaction, seizure, and diabetic emergency, the Chain of Survival Behaviors represents the domains for education to systematically address the needs of people in a position to aid another or themselves, based on clinical guidelines. …”
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Tracking algorithm of Siamese network based on online target classification and adaptive template update by Zhiwang CHEN, Zhongxin ZHANG, Juan SONG, Haipeng LEI, Yong PENG

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Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach by Xiaosuo Luo, Yongduan Song

“…This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. …”
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Drought Vulnerability Characterization and Nature-Based Adaptation, Eerer Sub-Basin, Eastern Ethiopia by Asfaw Kebede Kassa, Dejene W. Sintayehu, Negash Tessema, Bekele Girma, Jemal Yousuf

“…The results underscore the urgent need for a cohesive strategy to mitigate drought risks, focusing on climate adaptation and sustainable land management through NbS. …”
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Translation, cross-cultural adaptation and validation of the Persian version of the physical workload questionnaire (PWQ) by Mehrnaz Noshadha, Hamid Reza Mokhtarinia, Mohsen Vahedi, Markus Melloh

“…This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the Physical Workload Questionnaire for Persian-speaking populations (PWQ-Pr). …”
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Research on Radio Network Intelligent Frequency Selection Technology Based on an Adaptive Genetic Algorithm by Wenjun Wang

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