Adaptive pilot design for OFDM based on deep reinforcement learning by Qiaoshou LIU, Xiong ZHOU, Shuang LIU, Yifeng DENG

“…For orthogonal frequency division multiplexing (OFDM) systems, an adaptive pilot design algorithm based on deep reinforcement learning was proposed.The pilot design problem was formulated as a Markov decision process, where the index of pilot positions was defined as actions.A reward function based on mean squared error (MSE) reduction strategy was formulated, and deep reinforcement learning was employed to update the pilot positions.The pilot was adaptively and dynamically allocated based on channel conditions, thereby utilizing channel characteristics to combat channel fading.The simulation results show that the proposed algorithm has significantly improved channel estimation performance compared with the traditional pilot uniform allocation scheme under three typical multipath channels of 3GPP.…”
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New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms by Caroline A. D. Silva, Marcelo A. C. Fernandes

“…Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. …”
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An Adaptive Pseudospectral Method for Fractional Order Boundary Value Problems by Mohammad Maleki, Ishak Hashim, Majid Tavassoli Kajani, Saeid Abbasbandy

“…An adaptive pseudospectral method is presented for solving a class of multiterm fractional boundary value problems (FBVP) which involve Caputo-type fractional derivatives. …”
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New Thermoelectric Sensor Adapted to Realize an Infrared Radiations Detector by Mohammed Rahmoun, Khalid Hachami, Abdelwahad Touil, Benaissa Bellach, Mohammed Bailich, Ammar Merdani

“…The present paper deals with the design and the realization of a new thermoelectric sensor (Seebeck), sensitive to the infrared radiations emitted by different sources. The function mechanism utilizes radiative absorption phenomena, heat transfer, and thermoelectric effects. …”
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Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement by Mohammad Ismail, Zohair Al-Ameen

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Adaptive strategies of Caribbean sponge holobionts beyond the mesophotic zone by Benoît Paix, Alexane Thivet, Celso Domingos, Özlem Erol, Niels van der Windt, Young H. Choi, Nicole J. de Voogd

“…Abstract Background Marine sponges and their microbiomes function together as holobionts, playing essential roles in ecosystem dynamics and exhibiting remarkable adaptability across depth gradients. …”
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Role of carbohydrate-active enzymes in brown planthopper virulence and adaptability by Fang Liu, Fang Liu, Jing Xiao, Xin-Feng Wang, Ya-Xuan Wang, Hou-Hong Yang, Yu-Biao Cai, Feng-Xiang Lai, Qiang Fu, Pin-Jun Wan

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Adaptation mechanisms of Alcanivorax facilitating its predominance in marine environments by Zhen Chen, Zhen Chen, Zhen Chen, Shizheng Xiang, Shizheng Xiang, Shizheng Xiang, Yao Lu, Yao Lu, Yao Lu, Qiliang Lai, Qiliang Lai, Qiliang Lai, Chunming Dong, Chunming Dong, Chunming Dong, Jianyang Li, Jianyang Li, Jianyang Li, Guizhen Li, Guizhen Li, Guizhen Li, Zongze Shao, Zongze Shao, Zongze Shao

“…However, Alcanivorax bacteria perform sulfide detoxification through Sqr rather than by gaining energy via sulfide oxidation Although no strain was confirmed to be chemoautotrophs, we discovered that the two clades, A. xenomutans and A. profundimaris, can grow under conditions with very low organic matter.DiscussionThe ability to utilize inorganic compounds as a supplementary energy source and adapt to carbon oligotrophic growth may contribute to the prevalence of Alcanivorax in marine ecosystems.…”
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Adaptation of Archaeal Communities to Summer Hypoxia in the Sediment of Bohai Sea by Xiaoxiao Guo, Yanying Li, Guisheng Song, Liang Zhao, Jing Wang

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Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome by Rania Lutfi

“…The complexity and unpredictability of individual learning behaviors are often beyond the capacity of existing adaptive AI frameworks. This short communication introduces an innovative conceptual framework that integrates neutrosophic error clustering into adaptive AI systems, utilizing neutrosophic logic to define membership functions for truth, indeterminacy, and falsity. …”
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Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

“…In AFO-DPSO, both particle's position and velocity information were utilized adequately, together an adaptive acceleration coefficient control strategy and mutation processing mechanism were introduced for better convergence performance. …”
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Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

“…In AFO-DPSO, both particle's position and velocity information were utilized adequately, together an adaptive acceleration coefficient control strategy and mutation processing mechanism were introduced for better convergence performance. …”
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Comprehensive Adaptive Enterprise Optimization Algorithm and Its Engineering Applications by Shuxin Wang, Yejun Zheng, Li Cao, Mengji Xiong

“…In this study, a brand-new algorithm called the Comprehensive Adaptive Enterprise Development Optimizer (CAED) is proposed to overcome the drawbacks of the Enterprise Development (ED) algorithm in complex optimization tasks. …”
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Gut microbiota contribute to high-altitude adaptation in tree sparrows by Tingbei Bo, Gang Song, Mengru Zhang, Xiaoming Xu, Jundong Duan, Huishang She, Yun Fang, Wenting Li, Jing Wen, Jingsong Liu, Dehua Wang, Fumin Lei

“…ABSTRACT The intricate relationship between gut microbiota and various physiological functions in animals has emerged as a focal point in understanding host adaptability. …”
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Cross-cultural adaptation and validation of Dysphagia Handicap Index in Bangladesh by Mehrin Sultana, Md. Muid Hossain Reshad, Md. Shohidul Islam Mridha

“…Abstract The Dysphagia Handicap Index (DHI) is commonly utilized for evaluating how dysphagia impacts the quality of life (QoL) of patients across physical, functional, and emotional dimensions. …”
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Transcriptomic Evidence of Adaptive Evolution of the Epiphytic Fern Asplenium nidus by Jiao Zhang, Li Liu, Jiang-Ping Shu, Dong-Mei Jin, Hui Shen, Hong-Feng Chen, Rui Zhang, Yue-Hong Yan

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Prediction of Alzheimer’s Disease Based on Multi-Modal Domain Adaptation by Binbin Fu, Changsong Shen, Shuzu Liao, Fangxiang Wu, Bo Liao

“…<b>Methods:</b> In this study, we propose a multi-modal deep domain adaptation (MM-DDA) model that integrates MRI and PET modal data, which aims to maximize the utilization of the complementarity of the multi-modal data and narrow the differences in domain distribution to boost the accuracy of AD classification. …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…(Results and discussion) The utilization of adaptive control principles ensures a high probability of successfully attaining the ultimate objectives. …”
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A Utility-Based Rate Allocation of M2M Service in Heterogeneous Wireless Environments by Yao Huang, Hui Tian, Jie Zhang, Cheng Qin, Zhibo Wang

“…According to the M2M service characteristics, it proposes the utility function, which forms a convex optimization problem that maximizes the utility of M2M service and can be solved by the Lagrange multiplier. …”
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Dynamic Scheduling in Identical Parallel-Machine Environments: A Multi-Purpose Intelligent Utility Approach by Mahmut İbrahim Ulucak, Hadi Gökçen

“…By addressing the trade-offs between improving the objective function or improving the rescheduling performance, MIU provides a comprehensive solution framework that enhances operational performance and adaptability in complex manufacturing environments.…”
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