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DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination
DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination
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DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination

Xia, Sibo ; Zhu, Hongqiu ; Zhang, Ning ; Cheng, Fei ; Li, Yonggang ; Zhou, Can

Expert systems with applications, 2024-11, Vol.254, Article 124488 [Periódico revisado por pares]

Elsevier Ltd

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VolMemDroid—Investigating android malware insights with volatile memory artifacts
VolMemDroid—Investigating android malware insights with volatile memory artifacts
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VolMemDroid—Investigating android malware insights with volatile memory artifacts

Khalid, Saneeha ; Hussain, Faisal Bashir

Expert systems with applications, 2024-11, Vol.253, p.124347, Article 124347 [Periódico revisado por pares]

Elsevier Ltd

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3
One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory
One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory
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One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory

Omar, Mas ; Yakub, Fitri ; Abdullah, Shahrum Shah ; Rahim, Muhamad Sharifuddin Abd ; Zuhairi, Ainaa Hanis ; Govindan, Niranjana

Expert systems with applications, 2024-10, Vol.252, p.124154, Article 124154 [Periódico revisado por pares]

Elsevier Ltd

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4
The art of time-bending: Data augmentation and early prediction for efficient traffic classification
The art of time-bending: Data augmentation and early prediction for efficient traffic classification
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The art of time-bending: Data augmentation and early prediction for efficient traffic classification

Hajaj, Chen ; Aharon, Porat ; Dubin, Ran ; Dvir, Amit

Expert systems with applications, 2024-10, Vol.252, p.124166, Article 124166 [Periódico revisado por pares]

Elsevier Ltd

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5
Reachable set performance and quantized sampled-data synchronization analysis of neural networks under random packet dropouts via enhanced looped functional
Reachable set performance and quantized sampled-data synchronization analysis of neural networks under random packet dropouts via enhanced looped functional
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Reachable set performance and quantized sampled-data synchronization analysis of neural networks under random packet dropouts via enhanced looped functional

Arockia Samy, Stephen ; Jeong, Jae Hoon ; Joo, Young Hoon

Expert systems with applications, 2024-10, Vol.252, p.124055, Article 124055 [Periódico revisado por pares]

Elsevier Ltd

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6
Cycle endurance and failure in ITO/MEH-PPV/Al resistive switching devices
Cycle endurance and failure in ITO/MEH-PPV/Al resistive switching devices
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Cycle endurance and failure in ITO/MEH-PPV/Al resistive switching devices

de Azevedo, Marleane Maria Felix ; de Araújo, Guilherme Severino Mendes ; Osajima, Josy Anteveli ; Neto, João Mariz Guimaraes ; da Cunha, Helder Nunes ; de Castro Maciel, Alexandre ; da Luz Lima, Cleânio ; Vega, Maria Leticia ; Hidalgo, Ángel Alberto

Sensors and actuators. A. Physical., 2024-10, Vol.376, p.115599, Article 115599 [Periódico revisado por pares]

Elsevier B.V

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7
Design of gelatin-based bionic device for neural computing applications
Design of gelatin-based bionic device for neural computing applications
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Design of gelatin-based bionic device for neural computing applications

Chang, Yu-Chi ; Liu, Hao-Jung ; Chen, Yu-Ling

Materials science in semiconductor processing, 2024-10, Vol.181, p.108619, Article 108619 [Periódico revisado por pares]

Elsevier Ltd

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8
A Low-Dead-Time FPGA-Based Time-to-Digital Converter Employing Resource-Efficient Downsampling-Multiplexing Encoding and Dual-Histogramming for LiDAR Applications
A Low-Dead-Time FPGA-Based Time-to-Digital Converter Employing Resource-Efficient Downsampling-Multiplexing Encoding and Dual-Histogramming for LiDAR Applications
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A Low-Dead-Time FPGA-Based Time-to-Digital Converter Employing Resource-Efficient Downsampling-Multiplexing Encoding and Dual-Histogramming for LiDAR Applications

Liu, Shaoxian ; Zhou, Yanxian ; Liao, Shaolin ; Li, Xianbo

IEEE transactions on industrial electronics (1982), 2024-10, Vol.71 (10), p.13395-13405 [Periódico revisado por pares]

New York: IEEE

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9
A new oversampling-based full-duplex radar jamming method with a single antenna
A new oversampling-based full-duplex radar jamming method with a single antenna
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A new oversampling-based full-duplex radar jamming method with a single antenna

Zhang, Kaixiang ; Zhang, Tianjun ; Liang, Zhennan ; Chen, Xinliang ; Liu, Quanhua

Digital signal processing, 2024-10, Vol.153, p.104642, Article 104642 [Periódico revisado por pares]

Elsevier Inc

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10
Secure Event-Triggered Distributed Finite-Memory Localization for Multiple Mobile Robots Under Cyberattacks
Secure Event-Triggered Distributed Finite-Memory Localization for Multiple Mobile Robots Under Cyberattacks
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Secure Event-Triggered Distributed Finite-Memory Localization for Multiple Mobile Robots Under Cyberattacks

Ko, Ju Yeon ; Pak, Jung Min ; Kim, Dong Hyeon ; Ahn, Choon Ki

IEEE transactions on industrial electronics (1982), 2024-10, Vol.71 (10), p.12931-12941 [Periódico revisado por pares]

New York: IEEE

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