Avnet: learning attitude and velocity for vehicular dead reckoning using smartphone by adapting an invariant EKF by Long Qian, Xinchuang Lin, Xiaoguang Niu, Qihai Huang, Leilei Li, Guangyi Guo, Zexin Wang, Ruizhi Chen

“…The method was tested on custom datasets collected in a parking lot, and a 0.4 % relative horizontal translation error was achieved on average.…”
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A Wireless Smart Adhesive Integrated with a Thin-Film Stretchable Inverted-F Antenna by Ashok Chhetry, Hodam Kim, Yun Soung Kim

“…The final S4 system achieved high correlation (R = 0.95, <i>p</i> < 0.001, mean standard error = 0.04 °C) with commercial sensors during daily activities. …”
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Real-Time Phase Tracking Scheme With Mismatched-Basis Data for Phase-Coding Quantum Key Distribution by Dong Wang, Xiaotian Song, Liangjiang Zhou, Yibo Zhao

“…Experimental results show that this scheme enables QKD systems to operate continuously with long-term stability and keep a low level of QBER even with rapid phase drift, suggesting its suitability for practical applications.…”
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Wide-Range Tunable Narrow Band-Stop Filter Based on Bilayer Graphene in the Mid-Infrared Region by Yindi Wang, Hongxia Liu, Shulong Wang, Ming Cai

“…Hence, the work has potential applications in narrowband filters, active plasmonic switches, and sensors in the mid-infrared region.…”
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Chiral dual-annihilator model for controllable photon upconversion and multi-dimensional optical modulation by Honghan Ji, Zhiwang Luo, Xuefeng Yang, Xue Jin, Tonghan Zhao, Pengfei Duan

“…Its accuracy is demonstrated by fine-controlling the emission bandwidth of triplet-triplet annihilation photon upconversion (average error less than 4.5%) in the experimental aspect. …”
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Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

“…With the growing reliance on video-based applications such as streaming, virtual reality, and video conferencing, video quality assessment (VQA) has become crucial. …”
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Classifiability Analysis of Spectroscopic Profiling Datasets in Food Safety-related Discriminative Tasks by Yinsheng Zhang, Xudong Yang, Zhengyong Zhang, Haiyan Wang

“…Compared to the current “trial-and-error” practice, this paper proposes a dedicated two-step classifiability analysis framework to address this issue. …”
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SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data by Yuhan Liu, Yuanyuan Zha, Gulin Ran, Yonggen Zhang, Liangsheng Shi

“…Abstract Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. …”
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A review of IoT network management: Current status and perspectives by Moussa Aboubakar, Mounir Kellil, Pierre Roux

“…During this last past decade, the Internet of Things (IoT) has gained much attention because it encompass intelligent devices such as smart sensors and actuators, which enable a wide range of applications that improve our daily life (e.g. smart agriculture). …”
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Visible Light Communication Using Receivers of Camera Image Sensor and Solar Cell by Yang Liu, Hung-Yu Chen, Kevin Liang, Chin-Wei Hsu, Chi-Wai Chow, Chien-Hung Yeh

“…Experimental results show that by using the proposed SOP ER enhancement scheme, the bit error rate (BER) improvement can be up to two orders of magnitude. …”
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Leveraging Edge Intelligence for Solar Energy Management in Smart Grids by Trong-Minh Hoang, Tuan-Anh Pham, van-Nhan Nguyen, Duc-Thang Doan, Nhu-Ngoc Dao

“…The model has been validated using two benchmark datasets (Alibaba Competition and GEFCom), achieving an impressive mean squared error of 0.0051 on long-term forecasts. The results demonstrate that our approach ensures high forecasting accuracy while maintaining computational efficiency, making it well-suited for real-time, IoT-enabled solar energy applications in smart grids.…”
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Optimizing WEDM Parameters Using Swarm Intelligence: A Multi‐Objective Approach to Improve Machinability and Cost‐Efficiency by Abhijit Bhowmik, Raman Kumar, Nikunj Rachchh, T. Ramachandran, A. Karthikeyan, Rahul Singh, Deepak Gupta, Dhirendra Nath Thatoi, Bhavik Jain, A. Johnson Santhosh

“…With a mean prediction error of < 1%, the PSO model proves highly accurate and reliable. …”
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A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis by Vandana Akshath Raj, Subramanya G. Nayak, Ananthakrishna Thalengala

“…Electroencephalography (EEG) analysis is critical for diagnosing various neurological disorders and for other brain-related control applications. However, the presence of artifacts, including muscle artifacts, significantly alter signal power and lead to misinterpretation of neural information. …”
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Energy storage efficiency modeling of high-entropy dielectric capacitors using extreme learning machine and swarm-based hybrid support vector regression computational methods by Yas Al-Hadeethi, Taoreed O. Owolabi, Mouftahou B. Latif, Bahaaudin M. Raffah, Ahmad H. Milyani, Saheed A. Tijani

“…However, low energy storage efficiency of BaTiO3-based ceramics hinders their applications especially along the global trend of miniaturization. …”
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Correction of ASCAT, ESA–CCI, and SMAP Soil Moisture Products Using the Multi-Source Long Short-Term Memory (MLSTM) by Qiuxia Xie, Yonghui Chen, Qiting Chen, Chunmei Wang, Yelin Huang

“…When the mean squared error (<i>MSE</i>) loss values were minimized, the improvement for ASCAT, ESA–CCI, and SMAP products was considered the best. …”
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Software-Defined Optical Coherence Measurement of Seawater Refractive Index Variations by Jiaxin Zhao, Xinyi Zhang, Qi Wang, Liyan Li, Songtao Fan, Yongjie Wang, Yan Zhou

“…The seawater refractive index is an important parameter in marine environments, with its variations depending on the specific environmental conditions. During practical applications, modulation parameters such as the sampling rate, bandwidth, and filters directly affect the signal-to-noise ratio (SNR) and need to be adjusted in real-time according to the characteristics of the target signal. …”
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Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics by Abhishek Kumar, Abdul Khader Jilani Saudagar, Ankit Kumar, Yazeed Masaud Alkhrijah, Linesh Raja

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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

“…The proposed framework assesses both models in various privacy-protective environments, providing comprehensive information on how distinct differential privacy techniques affect learning stability, accuracy, and clinical applicability. The performance was evaluated using established metrics including Accuracy, Precision, Recall, F1-Score, and mean absolute error (MAE). …”
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Closed-Form Continuous-Time Neural Networks for Sliding Mode Control with Neural Gravity Compensation by Claudio Urrea, Yainet Garcia-Garcia, John Kern

“…Consequently, a high-precision controller with a maximum error rate of approximately 1.57 mm was obtained, making it useful for applications requiring high accuracy.…”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

“…This framework is beneficial for companies to observe people&#039;s comments about their brands and for many other applications. The current authors have provided further evidence to confirm the superiority of the proposed framework. …”
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