Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver by Fang Liu, Meng Liu

“…With the development of GNSS and the application of multimode signals, efficient GNSS receiver research has become very important. …”
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Auricular bioelectronic devices for health, medicine, and human-computer interfaces by William J. Tyler

“…Together, these advances have enabled the design and engineering of bioelectronic devices with integrated multimodal sensing and stimulation capabilities to be worn nearly anywhere on the body. …”
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Optimization of UAV Cooperative Path Planning Mathematical Model Based on Personalized Multigroup Sparrow Search Algorithm in Complex Environment by Shaoqiang Yan, Weidong Liu, Ping Yang, Fengxuan Wu, Donglin Zhu, Gang Chen

“…Sparrow search algorithm has the problem of redundancy of convergence speed due to its fast convergence speed, and it is easy to fall into local optimum in multimodal environment. To solve the above problem, this paper presents a personalized multipopulation sparrow search algorithm (MPSSA). …”
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Novel Adaptive Bacteria Foraging Algorithms for Global Optimization by Ahmad N. K. Nasir, M. O. Tokhi, N. Maniha Abd. Ghani

“…The proposed algorithms are tested with several unimodal and multimodal benchmark functions in comparison with the original BFA. …”
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Heat therapy in rheumatic and musculoskeletal diseases – an overview of clinical and molecular effects by Philipp Klemm, Nils Schulz, Priyanka Boettger, Uwe Lange

“…Moreover, pharmacological treatment does not improve functionality per se. Therefore, multimodal treatment of rheumatic disorders with physical therapy being a key element is of central importance for best outcomes. …”
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Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review by Arantxa Ortega-Leon, Daniel Urda, Ignacio J. Turias, Simón P. Lubián-López, Simón P. Lubián-López, Isabel Benavente-Fernández, Isabel Benavente-Fernández, Isabel Benavente-Fernández

“…Furthermore, the inclusion of omics data as a contemporary approach employed, in other diagnostic contexts is proposed.ConclusionsWe identified limitations and emphasized the significance of employing multimodal data models and explored various alternatives to address the limitations identified in the reviewed studies. …”
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An Improved Differential Evolution Solution for Software Project Scheduling Problem by A. C. Biju, T. Aruldoss Albert Victoire, Kumaresan Mohanasundaram

“…It is also capable of handling nondifferentiable, nonlinear, and multimodal objective functions like SPSP. This paper proposes a refined DE where a new mutation mechanism is introduced. …”
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Reliability Evaluation of NPP’s Power Supply System Based on Improved GO-FLOW Method by Jie Zhao, Tian Liu, Yu Zhao, Dichen Liu, Xiaodong Yang, Yi Lin, Zhangsui Lin, Yong Lei

“…Comprehensively considering the effect of total signaling flow in the power supply system, the equivalent reliability parameter model and common cause failure probability model of multimodal repairable components are constructed. The improved GO-FLOW model of NPP’s power supply system is set up. …”
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Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

“…This research proposes a robust solution by fusing the multimodal data and employing a deep learning-based hybrid architecture that incorporates a generative model with a deep convolutional network. …”
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Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms by Akash Saxena, Shalini Shekhawat, Rajesh Kumar

“…The performance of these variants is tested over ten shifted and biased unimodal and multimodal benchmark functions. Further, the applications of these variants have been evaluated on three-bar truss design problem and frequency-modulated sound synthesis parameter estimation problem. …”
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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents by Yasunobu Ando, Shusuke Kasamatsu, Suguru Iwasaki, Yumi Tanaka

“…Some technical aspects were also discussed as key points to enable high-throughput fitting of multimode models of TSDC using the proposed formalism, such as the use of the peak temperature as a fitting parameter, which is easily estimated from measured data, instead of a pre-exponential factor that varies by orders of magnitude, and the use of the generalised exponential integral function to speed up the fitting algorithm.…”
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Project Scheduling Heuristics-Based Standard PSO for Task-Resource Assignment in Heterogeneous Grid by Ruey-Maw Chen, Chuin-Mu Wang

“…Meanwhile, two promising heuristics based on multimode project scheduling are proposed to help in solving interesting scheduling problems. …”
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Neural correlates of facial recognition deficits in autism spectrum disorder: a comprehensive review by Jianmei Liu, Jianmei Liu, Huihui Chen, Haijing Wang, Zhidan Wang

“…Future research should emphasize longitudinal, multimodal neuroimaging approaches to better understand developmental trajectories and design personalized interventions, leveraging AI and machine learning to optimize therapeutic outcomes for individuals with ASD.…”
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Preoperative management in octogenarian patients with rectal cancer by Arthur M. Damasceno, Rubens Kesley, Marcus Valadão, Fabrício Braga, Cristiane A. D'Almeida, Marcos B. Pitombo

“…Methods: Between January and August 2024, 6 experts in colorectal cancer met to develop an algorithm to organize the interdisciplinary and multimodal preoperative approaches in the octogenarian population with rectal cancer. …”
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Wireless Modular Implantable Neural Device with One‐touch Magnetic Assembly for Versatile Neuromodulation by Inho Kang, John Bilbily, Choong Yeon Kim, Chuanqian Shi, Manish K. Madasu, Eun Young Jeong, Kyle E. Parker, Do A Kwon, Bum‐Joon Jung, Jae‐Soon Yang, Juhyun Lee, Noah D.L. Kabbaj, Wonhee Lee, Jun‐Bo Yoon, Ream Al‐Hasani, Jianliang Xiao, Jordan G. McCall, Jae‐Woong Jeong

“…Abstract Multimodal neural interfaces open new opportunities in brain research by enabling more sophisticated and systematic neural circuit dissection. …”
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A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information by Zhengchao Zhang, Congyuan Ji, Yineng Wang, Yanni Yang

“…Validated by a practical city-wide multimodal traffic dataset in Beijing, our model significantly outperforms the random utility models and simple fully connected neural network in terms of the prediction accuracy. …”
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Dynamics of Anisotropically Supported Rotors by Agnes Muszynska, Charles T. Hatch, Donald E. Bently

“…The analytical model of the system is based on multimode modal approach. It is also shown in this paper that greatly enhanced information for machine malfunction diagnostics can be obtained by simulated rotation of the XY transducer system observing rotor lateral vibration. …”
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Parallel Swarms Oriented Particle Swarm Optimization by Tad Gonsalves, Akira Egashira

“…In the case of single-peak functions, PSO rapidly converges to the peak; however, in the case of multimodal functions, the PSO particles are known to get trapped in the local optima. …”
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Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response prediction by Oz Kilim, Alex Olar, András Biricz, Lilla Madaras, Péter Pollner, Zoltán Szállási, Zsofia Sztupinszki, István Csabai

“…Our study demonstrates that combining H&E-stained whole slide images (WSIs) with proteomic signatures using a multimodal deep learning framework significantly improves the prediction of platinum response in both discovery and validation cohorts. …”
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Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

“…A “parallel tempering” scheme is introduced, which efficiently and reliably locates the global maximum in the complex multimodal distributions that are characteristic of cadmium telluride (CdTe) films. …”
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