EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation by Suwicha Jirayucharoensak, Setha Pan-Ngum, Pasin Israsena

“…Furthermore, covariate shift adaptation of the principal components is implemented to minimize the nonstationary effect of EEG signals. …”
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Circuit motifs for contrast-adaptive differentiation in early sensory systems: the role of presynaptic inhibition and short-term plasticity. by Danke Zhang, Si Wu, Malte J Rasch

“…Numerical simulations show that the behavior of the adaptive PI-circuit is consistent with experimental observations suggesting that adaptive presynaptic inhibition might be a good candidate neural mechanism to achieve differentiation in early sensory systems.…”
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A New Deep Convolutional Domain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions by Yongchao Zhang, Zhaohui Ren, Shihua Zhou

“…In order to solve the issue, this study proposes a new deep convolutional domain adaptation network (DCDAN) method for bearing fault diagnosis. …”
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A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness by Qing Xue, Xuan Han, Mingrui Li, Minxia Liu

“…The critical contents covered context information modeling, processing, relationship establishing between contexts and interface design knowledge by use of adaptive knowledge reasoning, and visualization implementing of adaptive interface with the aid of interface tools technology.…”
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VERIFICATION OF THE EFFICIENCY OF A DISTRIBUTED SYSTEM FOR ADAPTIVE TRAFFIC FLOW CONTROL BASED ON EVENT-COUPLED AUTOMATIC MODELS by D. M. Elkin

“…The paper describes the process of creating a test environment and testing a distributed system for adaptive traffic control. A software system has been developed that communicates the control system with a simulation model and a program that implements the operation of the control system. …”
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Challenges and Adaptive Strategies in Transitional Care During COVID-19: A Qualitative Study of Nurses’ Experiences in Japan by Yuka Sumikawa, Noriha Tanaka, Noriko Yamamoto-Mitani

“…<b>Conclusions</b>: This study provides the first detailed examination of how TCNs in Japan adapted to transitional care during COVID-19. TCNs maintained essential care principles while implementing digital tools and strengthening community partnerships using hybrid approaches. …”
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Developing an indicator system and assessing China's progress on climate change adaptation in 2010–2022 from dual-dimension by Yang Song, Xiu Yang, Huimin Li, Mingyu Liu

“…China, as one of the regions most severely impacted by climate change globally, has consistently prioritized the issue of climate change adaptation. The Chinese government has implemented a series of measures to adapt to climate change in alignment with national economic and social development plans, yielding positive outcomes. …”
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Forestry and wood technology research and education network for climate change adaptation strategies and ASFORCLIC - HORIZON 2020 project by Kyriaki Giagli, Kathrin Böhling, Tobias Mette, Aleš Kučera, Torben Hilmers, Petr Čermák

“…The ASFORCLIC consortium evaluates possible risk factors, predicts their evolution, and develops adaption strategies for future applications to monitor the impact of global climate change on central European forestry, particularly Czech forestry. …”
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Adaptive Feedforward Vibration Control of Helicopter Cabin Floor Driven by Piezoelectric Stack Actuators: Modeling, Simulation and Experiments by Laishou Song, Yingquan Wang, Xiaoyu Shen

“…The model of PSA is integrated into the attached beam element based on the conditions of force equilibrium and displacement compatibility, and adaptive feedforward control is implemented by the filtered-x least mean square (Fx-LMS) algorithm. …”
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Adaptation and mitigation for the planetary health crisis: A scoping review from the perspective of primary health care providers by Jacqueline Avanthay Strus, Joshitha Sankam, Samantha Green, Mckenzie Piper, Sabrina Richards, Kasey Knowles, Katie North, Leslie Solomonian

“…This scoping review sought to answer the following research question: ''What strategies are being implemented across all forms of primary health care to adapt to and address the climate crisis?” …”
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Hybrid Modified Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Electric Power Consumption Prediction by Molla Addisu Mossie, Estifanos Abeje Sharew, Tewodros Gera Workineh, Yechale Amogne Alemu

“…The latest modified forecasting methods are important for best prediction of the electric power consumption of the load which nowadays are not practically implemented. As a result, hybrid modified particle swarm optimization (MPSO)–adaptive neuro-fuzzy inference system (ANFIS) is applied in this work to predict the electric power consumption of the case study area. …”
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Utilisation of Extension Services for Climate Change Adaptation by Male and Female Arable Crop Farmers in Bayelsa State, Nigeria by Chinwoke Clara Ifeanyi-obi, Esther Tolumoyi

“…While awareness is growing, both access to and utilisation of extension services remain gender-skewed and infrequent, limiting farmers' adaptive capacity. Gender-inclusive extension strategies, improved service consistency, targeted awareness campaigns implemented by trained extension agents, and provide targeted support to enhance women's access to and utilisation of climate-relevant agricultural services …”
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Dynamic priority-based task scheduling and adaptive resource allocation algorithms for efficient edge computing in healthcare systems by J. Anand, B. Karthikeyan

“…This work presents a novel approach for task scheduling and resource allocation in edge computing environments tailored for healthcare monitoring systems. By implementing dynamic priority-based task scheduling and adaptive resource allocation algorithms, our methodology enhances the handling of resource requests between end devices, edge nodes (ENs), and the cloud. …”
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Semantic-Based Facial Image-Retrieval System with Aid of Adaptive Particle Swarm Optimization and Squared Euclidian Distance by Manikandan Kalimuthu, Ilango Krishnamurthi

“…In the second stage, a semantic gap between these features is reduced by a well-known adaptive particle swarm optimization (APSO) technique. …”
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Insurance Companies’ Salesperson Lead Qualification Skills and Salesperson’s Performance: Mediating Role of Salesperson’s Adaptive Selling Behavior by Richard Mwesige, Ronald Bonuke, Claire Situma

“…Practical implications include the need for policymakers to implement a policy of rewarding and supporting adaptive salespeople and organizing professional conference dialogues to train salespersons in analyzing customer needs, categorizing, and qualifying leads. …”
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Exploiting Full-Scale Feature for Remote Sensing Object Detection Based on Refined Feature Mining and Adaptive Fusion by Honghui Xu, Xinqing Wang, Ting Rui, Baoguo Duan, Dong Wang

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Volumetric and spatial changes in brain metastases during stereotactic radiosurgery: a case for off-line adaptive planning by Menekse Turna, Hale Başak Çağlar

“…Due to tumor displacement during the treatment course, adaptive SRS was implemented after the third fraction, utilizing an updated MRI scan to account for changes in tumor volume and midline shift. …”
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Adap-UIL: A Multi-Feature-Aware User Identity Linkage Framework Based on an Adaptive Graph Walk by Xiaqing Xie, Hangjiang Guo, Yueming Lu, Tianle Zhang

“…To address these challenges, this paper presents Adap-UIL, a multi-feature UIL framework based on an Adaptive Graph Walk. First, we design and implement an Adaptive Graph Walk method based on the Restarted Affinity Coefficient (RAC), which enhances both the neighborhood and higher-order features of nodes, and then we integrate cross-network features to form Adap-UIL with a more enriched node representation, facilitating user identity linkage. …”
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Agro-Morphological Diversity of White Roselle (Hibiscus sabdariffa var. altissima) for Climate Change Adaptation in Burkina Faso by Dramane Kabore, Adama Rama

“…A randomized complete block design with three replications was implemented. Thirteen agro-morphological traits were measured. …”
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Real-Time Load Forecasting and Adaptive Control in Smart Grids Using a Hybrid Neuro-Fuzzy Approach by Fangzong Wang, Zuhaib Nishter

“…Nowadays, power systems must precisely estimate real-time loads and use adaptive regulation to operate in the era of sustainable energy. …”
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