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Recently, multimodal large language models (MLLMs) have demonstrated remarkable performance in visual-language tasks. However, the authenticity of the responses generated by MLLMs is often compromised by object hallucinations. We identify…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Shuo Li , Jiajun Sun , Guodong Zheng , Xiaoran Fan , Yujiong Shen , Yi Lu , Zhiheng Xi , Yuming Yang , Wenming Tan , Tao Ji , Tao Gui , Qi Zhang , Xuanjing Huang

The presence of hyperreflective foci (HFs) is related to retinal disease progression, and the quantity has proven to be a prognostic factor of visual and anatomical outcome in various retinal diseases. However, lack of efficient…

Artificial Intelligence · Computer Science 2024-08-01 Idowu Paul Okuwobi , Zexuan Ji , Wen Fan , Songtao Yuan , Loza Bekalo , Qiang Chen

Epilepsy is a neurological disorder that affects normal neural activity. These electrical activities can be recorded as signals containing information about the brain known as Electroencephalography (EEG) signals. Analysis of the EEG…

Signal Processing · Electrical Eng. & Systems 2025-07-10 Fatemeh Valipour , Zahra Valipour , Mani Garousi , Ali Khadem

With the expansion of the semiconductor supply chain, the use of recycled field-programmable gate arrays (FPGAs) has become a serious concern. Several methods for detecting recycled FPGAs by analyzing the ring oscillator (RO) frequencies…

Hardware Architecture · Computer Science 2022-04-06 Yuya Isaka , Michihiro Shintani , Foisal Ahmed , Michiko Inoue

We propose a new observing method for single-dish millimeter and submillimeter spectroscopy using a heterodyne receiver equipped with a frequency-modulating local oscillator (FMLO). Unlike conventional switching methods, which extract…

Instrumentation and Methods for Astrophysics · Physics 2019-11-11 Akio Taniguchi , Yoichi Tamura , Kotaro Kohno , Shigeru Takahashi , Osamu Horigome , Jun Maekawa , Takeshi Sakai , Nario Kuno , Tetsuhiro Minamidani

Event-based cameras (EBCs) are an attractive sensing modality for surveillance due to their reporting of pixel-level radiance changes with microsecond resolution and high dynamic range, enabling motion extraction while suppressing…

Optics · Physics 2026-05-18 Megan Birch , James Rick , Adrish Kar , Jason Zutty , Joseph L. Greene

High-precision optical pulse trains distribution via fibre links has made huge impacts in many fields. In most published works, the accuracies are still fundamentally limited by some unavoidable noises, such as thermal and shot noise from…

Optics · Physics 2014-02-25 B. Ning , S. Y. Zhang , D. Hou , J. T. Wu , Z. B. Li , J. Y. Zhao

Quasi-periodic oscillations and dwarf nova oscillations occur in dwarf novae and nova-like variables during outburst and occasionally during quiescence, and have analogues in high-mass X-ray binaries and black-hole candidates. The frequent…

Solar and Stellar Astrophysics · Physics 2010-11-09 Claire Blackman

Epilepsy and psychogenic non-epileptic seizures often present with similar seizure-like manifestations but require fundamentally different management strategies. Misdiagnosis is common and can lead to prolonged diagnostic delays,…

Computation and Language · Computer Science 2026-03-31 Shuang Zhou , Kai Yu , Zaifu Zhan , Huixue Zhou , Min Zeng , Feng Xie , Zhiyi Sha , Rui Zhang

Event cameras offer unparalleled advantages for real-time perception in dynamic environments, thanks to the microsecond-level temporal resolution and asynchronous operation. Existing event detectors, however, are limited by fixed-frequency…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Dongyue Lu , Lingdong Kong , Gim Hee Lee , Camille Simon Chane , Wei Tsang Ooi

Identifying epileptic seizures through analysis of the electroencephalography (EEG) signal becomes a standard method for the diagnosis of epilepsy. Manual seizure identification on EEG by trained neurologists is time-consuming,…

Machine Learning · Computer Science 2019-06-07 X. Yao , X. Li , Q. Ye , Y. Huang , Q. Cheng , G. -Q. Zhang

Epilepsy is a chronic neurological disorder with a significant prevalence. However, there is still no adequate technological support to enable epilepsy detection and continuous outpatient monitoring in everyday life. Hyperdimensional (HD)…

Neural and Evolutionary Computing · Computer Science 2024-04-30 Una Pale , Tomas Teijeiro , David Atienza

During oscillations of cosmology inflation around the minimum of a cuspy potential after inflation, the existence of extra high frequency gravitational waves (HFGWs) (GHz) has been proven effectively recently. Based on the electromagnetic…

Data Analysis, Statistics and Probability · Physics 2019-10-18 Li Li Wang , Jin Li , Nan Yang , Xin Li

Time-resolved femtosecond stimulated Raman spectroscopy (FSRS) is a powerful tool for investigating ultrafast structural and vibrational dynamics in light absorbing systems. However, the technique generally requires exposing a sample to…

Instrumentation and Detectors · Physics 2018-07-10 Matthew N. Ashner , William A. Tisdale

In this study, we present a criterion based on the analysis of EEG signals through the mean of the conventional power spectral density (PSD) in the aim to localize and detect the epileptic area of the brain. Firstly, as the EEG signals are…

Applications · Statistics 2016-10-31 Mahamat Ali Issaka , Ali S. Dabye , Lamine Gueye

Background: Epilepsy is a neurological illness affecting the brain that makes people more likely to experience frequent, spontaneous seizures. There has to be an accurate automated method for measuring seizure frequency and severity in…

Signal Processing · Electrical Eng. & Systems 2023-05-09 Salim Rukhsar , Anil K. Tiwari

We present a simple and fast method for incoherent dedispersion and fast radio burst (FRB) detection based on the Hough transform, which is widely used for feature extraction in image analysis. The Hough transform maps a point in the…

Instrumentation and Methods for Astrophysics · Physics 2020-04-15 Shifan Zuo , Xuelei Chen

Marking anatomical landmarks in cephalometric radiography is a critical operation in cephalometric analysis. Automatically and accurately locating these landmarks is a challenging issue because different landmarks require different levels…

Computer Vision and Pattern Recognition · Computer Science 2019-08-26 Runnan Chen , Yuexin Ma , Nenglun Chen , Daniel Lee , Wenping Wang

Epilepsy affects nearly 1% of the global population, of which two thirds can be treated by anti-epileptic drugs and a much lower percentage by surgery. Diagnostic procedures for epilepsy and monitoring are highly specialized and…

Signal Processing · Electrical Eng. & Systems 2020-01-20 Tennison Liu , Nhan Duy Truong , Armin Nikpour , Luping Zhou , Omid Kavehei

The inherent non-linearity of intensity correlation functions can be used to spatially distinguish identical emitters beyond the diffraction limit, as achieved, for example, in Super-Resolution Optical Fluctuation Imaging (SOFI). Here, we…

Optics · Physics 2024-12-18 Yifan Chen , Chieh Tsao , Hendrik Utzat
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