Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow by Xuewu Wang, Jianing Zhang, Yi Hua, Rui Yu

“…Multiple local search operators based on ideal point are proposed to find a better local solution. To improve the global exploration ability of the algorithm, a dual population restart mechanism is adopted. …”
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Flexible Job Shop Scheduling Based on Energy Consumption of Method Research by Yajie Li, Longlong Li, Xiaoying Yang, Bingfeng Zhao

“…This paper proposes an improved MD3QN algorithm by introducing a dual experience pool, a noisy neural network, and a reward mechanism combining single-step and multi-step rewards on the basis of the D3QN algorithm, thereby further improving the algorithm’s convergence, generalization ability, and solution stability. The effectiveness of the algorithm improvement is verified through a test dataset expanded based on standard instances, and the practical application effect is validated through a case study using the production data of hub bearings from a bearing company. …”
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Microalgae-based bioremediation of refractory pollutants: an approach towards environmental sustainability by Mostafa M. El-Sheekh, Hala Y. El-Kassas, Sameh S. Ali

“…Utilizing microalgae as a bioremediation tool can present a potential solution to these challenges. Microalgae have gained significant attention as a promising biotechnological solution for detoxifying environmental pollutants. …”
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A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

“…Many optimization techniques have been used to solve this problem in power systems; however, achieving the optimal solution is considered difficult due to the involvement of a nonlinear objective function and large search domain. …”
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A Continuous Space Path Planning Method for Unmanned Aerial Vehicle Based on Particle Swarm Optimization-Enhanced Deep Q-Network by Le Han, Hui Zhang, Nan An

“…The PSO algorithm performs a global search in the continuous space to obtain a continuous candidate solution, while DQN learns a policy in the discrete space to obtain a discrete candidate solution. …”
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Centrifuge-free cell radiolabeling using acoustophoresis by Stephen S. Adler, Emma Stevenson, Julia Alsveds, Peter L. Choyke, Noriko Sato

“…After cell incubation with 89Zr-oxine, AcouWash 2 exchanged the incubation solution with a solution for infusion, removing unbound 89Zr-oxine. …”
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Tribo-corrosion interaction of the parallel steel wires in the suspension bridges by Bo Wang, Dagang Wang, Hailang Chong, Guozheng Xie, Dekun Zhang, Shirong Ge

“…The results show that the electrochemical corrosion ability of the steel wires increases with the increase of the contact load or relative displacement. …”
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SMOTEHashBoost: Ensemble Algorithm for Imbalanced Dataset Pattern Classification by Seema Yadav, Dhruvanshu Joshi, Soham Mulye, Sandeep S. Udmale, Girish P. Bhole

“…The proposed approach combines weak classifiers to increase the model’s ability to generalize while generating a balanced and representative dataset. …”
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Advancing Optical Character Recognition for Low-Resource Scripts: A Siamese Meta-Learning Approach With PSN Framework by Anirudha Ghosh, Debaditya Barman, Abu Sufian, Ibrahim A. Hameed

“…In such a scenario, Siamese Network (SN) meta-learning offers a promising solution for this problem by enabling quick adaptation to new tasks with minimal training data. …”
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Post-Quantum enhanced Ascon for secure vehicular IoT data integrity by Bhuvaneshwari A. J, Kaythry P., Kishore R., MuthuHarish R

“…This paper proposes a security solution based on post-quantum cryptography (PQC), which enhances Ascon encryption by adding quantum-proof key exchange. …”
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Longitudinal Tire Force Estimation Method for 4WIDEV Based on Data-Driven Modified Recursive Subspace Identification Algorithm by Xiaoyu Wang, Te Chen, Jiankang Lu

“…It can provide a high-precision and highly adaptive longitudinal force estimation solution for vehicle dynamics control and intelligent driving systems.…”
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Vega: LLM-Driven Intelligent Chatbot Platform for Internet of Things Control and Development by Harith Al-Safi, Harith Ibrahim, Paul Steenson

“…We present Vega, a modular system that leverages LLMs to enable intuitive, natural language control and interrogation of IoT devices, specifically, a Raspberry Pi (RPi) connected to various sensors, actuators, and devices. Our solution comprises three key components: a physical circuit with input and output devices used to showcase the LLM’s ability to interact with hardware, an RPi integrating a control server, and a web application integrating LLM logic. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…By incorporating self-supervised learning, we significantly improve the detection of complex emotions, particularly those related to mental health, offering a more comprehensive solution for sentiment analysis on social platforms. …”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…Reinforcement learning offers an end-to-end solution for locomotion control in humanoid robots. …”
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P49 | DEVELOPMENT OF AN INJECTABLE AND SELFASSEMBLING SCAFFOLD FOR THE DIRECT DELIVERY OF CARDIAC EXTRACELLULAR MATRIX AND CARDIAC PROGENITOR CELLS

“… Injectable biomaterials offer an attractive alternative for cardiac tissue engineering due to the ability to polymerize at 37°C and the possibility of being administrated directly in situ, via minimally invasive procedures. …”
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Additive-driven microwave crystallization of tyramine polymorphs and salts: a quantum crystallography perspective by Szymon Grabowski, Klaudia Nowakowska, Helena Butkiewicz, Anna Hoser, Aleksandra Wesełucha-Birczyńska, Tomasz Seidler, Paulina Moskal, Marlena Gryl

“…Polymorphism – the ability of a compound to exist in multiple crystalline forms – needs to be carefully considered in the design of functional materials, particularly in the context of cocrystallization. …”
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Mitigating side channel attacks on FPGA through deep learning and dynamic partial reconfiguration by Sesibhushana Rao Bommana, Sreehari Veeramachaneni, Syed Ershad, MB Srinivas

“…One of the notable advantages of this approach is its ability to defend against side-channel attacks while the FPGA design is operational. …”
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Enhanced two-dimensional superelasticity in a laser micromachined auxetic NiTiNOL geometry by Asheesh Lanba, Tymur Sabirov, Adrien Melanson, Kevin Voter, Benjamin Hall

“…Laser-micromachining is an attractive solution to this problem, with the ability to micromachine geometries not conventionally possible. …”
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Influence of Pb Dosage on Immobilization Characteristics of Different Types of Alkali-Activated Mixtures and Mortars by Jan Koplík, Jaromír Pořízka, Lukáš Kalina, Jiří Másilko, Matěj Březina

“…The leaching tests confirmed the ability of alkali-activated materials to immobilize heavy metals. …”
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Sensitivity of Heterotrophic Bacteria in the Low-Salinity Water Areas and Estuary in Siak District toward Pathogenic Bacteria in Fish by F. Feliatra, Rizki Hamdani, Iesye Lukystyowati, Irvina Nurachmi

“…The high rate of bacterial diseases in fishes and shrimps has lead scientists seek for natural antibiotic products that would act as a solution. An example of this product is the secondary metabolic products from heterotrophic bacteria. …”
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