A Gateway Deployment Heuristic for Enhancing the Availability of Sensor Grids by Majid Hussain, Ki-Hyung Kim, Ali Hammad Akbar, Shehzad Khalid, Seung-Jin Bang, Mohsin Javed, Madiha Amjad

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Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

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Quantum dot nanomaterials: Empowering advances in optoelectronic devices by Mariam Akter Mimona, Md Israfil Hossain Rimon, Fatema Tuz Zohura, Jannatul Mawya Sony, Samira Islam Rim, Md Mostafizur Rahman Arup, Md Hosne Mobarak

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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…The experimental results showed a 33.67% reduction in the number of parameters, 17.3% reduction in the amount of computation, 10.74% improvement in mAP@0.5, and 13.2% improvement in mAP@0.5:0.95 compared with the existing YOLOv8n. …”
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Modeling Reorientation Dynamics of Electrically Assisted Light-Induced Gliding of Nematic Liquid-Crystal Easy Axis by S. V. Pasechnik, A. V. Dubtsov, D. V. Shmeliova, D. A. Semerenko, V. G. Chigrinov, M. A. Sinenko, Alexei D. Kiselev

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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Lastly, the fixed window size of Swin-Transformer is dynamically adjusted to enhance computational efficiency and maintain accuracy. The results on two PV datasets demonstrate that DSFA-SwinNet significantly enhances detection accuracy and scalability for multi-scale PV areas.…”
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The Collaborative Search by Tag-Based User Profile in Social Media by Haoran Xie, Xiaodong Li, Jiantao Wang, Qing Li, Yi Cai

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ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection by Huilin Liu, Runmin Cao, Songze Li, Yifan Wang, Xiaohan Zhang, Hua Xu, Xirong Sun, Lijuan Wang, Peng Qian, Zhumei Sun, Kai Gao, Fufeng Li

“…Objectives: Computer-aided schizophrenia (SZ) detection methods mainly depend on electroencephalogram and brain magnetic resonance images, which both capture physical signals from patients’ brains. …”
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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

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FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

“…In the proposed method, the learning ability of the deep neural network architecture, which has strong computational ability, is increased with the broad learning technique. …”
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A Physics-Based Hyper Parameter Optimized Federated Multi-Layered Deep Learning Model for Intrusion Detection in IoT Networks by Chirag Jitendra Chandnani, Vedik Agarwal, Shlok Chetan Kulkarni, Aditya Aren, D. Geraldine Bessie Amali, Kathiravan Srinivasan

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Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes by Ambre Bertrand, Andrew Lewis, Julia Camps, Vicente Grau, Blanca Rodriguez

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A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen

“…In 1936 test cases, PhenoBrain achieved an average predicted top-3 recall of 0.513 and a top-10 recall of 0.654, surpassing 13 leading prediction methods. In a human-computer study with 75 cases, PhenoBrain exhibited exceptional performance with a top-3 recall of 0.613 and a top-10 recall of 0.813, surpassing the performance of 50 specialist physicians and large language models like ChatGPT and GPT-4. …”
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Yield Mapping Hardware Components for Grains and Cotton Using On-the-Go Monitoring Systems by Rebecca Barocco, Won Suk Daniel Lee, Garret Hortman

“… This 12-page fact sheet discusses yield mapping benefits, grain yield flow sensors, grain moisture sensors, cotton yield flow sensors, differential GNSS receivers, ground speed sensors, header position sensors, computer displays, yield calculation and calibration, and costs of yield mapping hardware components. …”
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Projection solutions of Frobenius-Perron operator equations by Jiu Ding, Tien Tien Li

“…We construct in this paper the first order and second order piecewise polynomial finite approximation schemes for the computation of invariant measures of a class of nonsingular measurable transformations on the unit interval of the real axis. …”
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Optimization of PLL frequency synthesizer by G. A. Koshuk, I. A. Tikhonov, B. A. Kosarev

“…The possibility of computer prediction of such PLL parameters as power consumption, start-up time, jitter and phase noise level at the choice of the frequency divider from the generator to the circuit output is shown.…”
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On fundamental sets over a finite field by Yousef Abbas, Joseph J. Liang

“…If a primitive element is used to construct the addition table over these fundamental sets then all additions over the field can be computed. The number of partitions is given for some finite fields.…”
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Collocation for High-Order Differential Equations with Lidstone Boundary Conditions by Francesco Costabile, Anna Napoli

“…It is a collocation method which provides globally continuous differentiable solutions. Computation of the integrals which appear in the coefficients is generated by a recurrence formula. …”
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Usage of Non-Explicit Numerical Diagram of Triple Dimensional Equation of Heat Conduction in Problems of Thermal Treatment Optimization by A. N. Chichko, A. S. Borozdin

“…A mathematical model and a program for determination of temperature field dynamics in industrial-scale blanks of unspecified and three-dimensional configuration at thermal treatment according to preset mode are presented in the paper. The paper contains computer-based calculations of temperature field dynamics for a number of blanks at various thermal treatment modes.…”
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Yield Mapping Hardware Components for Grains and Cotton Using On-the-Go Monitoring Systems by Rebecca Barocco, Won Suk Daniel Lee, Garret Hortman

“… This 12-page fact sheet discusses yield mapping benefits, grain yield flow sensors, grain moisture sensors, cotton yield flow sensors, differential GNSS receivers, ground speed sensors, header position sensors, computer displays, yield calculation and calibration, and costs of yield mapping hardware components. …”
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