REDETR-RISTD: Real-Time Long-Range Infrared Small Target Detection Network Based on the Reparameterized Efficient Detection Transformer by Ning Li, Daozhi Wei

“…REDETR-RISTD maintains accuracy while significantly reducing computational complexity. First, we introduce a self-developed reparameterized multi-scale feature extraction module (RMSFE). …”
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Express method for contactless measurement of parameters of thermoelectric materials by A. A. Ashcheulov, I. A. Buchkovskii, I. S. Romanyuk

“…Its distinctive feature is the ability to determine the symmetric and asymmetric components of the electric conductivity of the material values. …”
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LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n by Qi Cao, Hang Chen, Shang Wang, Yongqiang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

“…LH-YOLO features only 1.862 M parameters, representing a 38.1% reduction compared to YOLOv8n. …”
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Classifying seismic event parameters using artificial intelligence by Abbas Maazallahi, Kameron Bustos, Mohammad Amir Salari, Eli Snir, Payam Norouzzadeh, Bahareh Rahmani

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YOLO-Dynamic: A Detection Algorithm for Spaceborne Dynamic Objects by Haiying Zhang, Zhengyang Li, Chunyan Wang

“…SC_Block_C2f, developed in this study, integrates StarNet and Convolutional Gated Linear Unit (CGLU) operations, improving small-object recognition and feature extraction. Meanwhile, LASF_Neck employs a lightweight multi-scale architecture for optimized feature fusion and faster detection. …”
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Channel computation based on multi-scale attention residual network by Wengang Li, Deli Zhou, Qiong Ye

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Mechanistic computational modeling of sFLT1 secretion dynamics. by Amy Gill, Karina Kinghorn, Victoria L Bautch, Feilim Mac Gabhann

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A computational study of stimulus driven epileptic seizure abatement. by Peter Neal Taylor, Yujiang Wang, Marc Goodfellow, Justin Dauwels, Friederike Moeller, Ulrich Stephani, Gerold Baier

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COMPUTED TOMOGRAPHY IN STUDYING THE SURGICAL ANATOMY OF THE POSTERIOR CRANIAL FOSSA by S. V. Ishkov

“…Objective: to determine the individual roentgenometric parameters of the posterior cranial fossa and the specific features of the location of brain structures on computed tomography scans in terms of their possible use on planning surgical approaches.Material and methods. …”
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Investigation of a Markov Model for Computer System Security Threats by Alexey A. A. Magazev, Valeria F. Tsyrulnik

“…In this work, a model for computer system security threats formulated in terms of Markov processes is investigated. …”
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Ten recommendations for scanning foraminifera by X-ray computed tomography by A. Searle-Barnes, A. Brombacher, A. Brombacher, O. Katsamenis, O. Katsamenis, K. Rankin, M. Mavrogordato, T. Ezard

“…</p> <p>In our case study, the highest beam power resulted in the widest contrast between the subject of interest and the background, allowing the easiest threshold-based segmentation of the object and aiding computers in automated feature extraction.</p> <p>The values of these parameters can exhibit significant variability across individuals, based on the specific needs of the study, the equipment used, and the unique attributes of the samples under consideration. …”
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Copula Approximate Bayesian Computation Using Distribution Random Forests by George Karabatsos

“…This <i>Stats</i> invited feature article introduces and provides an extensive simulation study of a new approximate Bayesian computation (ABC) framework for estimating the posterior distribution and the maximum likelihood estimate (MLE) of the parameters of models defined by intractable likelihoods, that unifies and extends previous ABC methods proposed separately. …”
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Matrix computation over homomorphic plaintext-ciphertext and its application by Yang LIU, Linhan YANG, Jingwei CHEN, Wenyuan WU, Yong FENG

“…Those homomorphic encryption schemes supporting single instruction multiple data (SIMD) operations effectively enhance the amortized efficiency of ciphertext computations, yet the structure of ciphertexts leads to high complexity in matrix operations.In many applications, employing plaintext-ciphertext matrix operations can achieve privacy-preserving computing.Based on this, a plaintext-ciphertext matrix multiplication scheme for matrices of arbitrary dimension was proposed.The resulting ciphertext was computed through steps such as encoding the plaintext matrix, transforming the dimensions of the encrypted matrix, etc.Compared to the best-known encrypted matrix multiplication algorithm for square matrices proposed by Jiang et al., the proposed scheme supported matrix multiplication of arbitrary dimension, and consecutive matrix multiplications.Both theoretical analysis and experimental results show that the proposed scheme requires less rotations on ciphertexts and hence features higher efficiency.When applied to a privacy-preserving Bayesian classifier, the proposed scheme can complete classification tasks with higher security parameters and reduced running time.…”
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Enhanced detection of malaria infected red blood cells through phase driven classification by Charlotte Kyeremah, Aditya S. Paul, Daniel Haehn, Manoj T. Duraisingh, Chandra S. Yelleswarapu

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Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases by Sofía Ortín Vela, Michael J. Beyeler, Olga Trofimova, Ilaria Iuliani, Jose D. Vargas Quiros, Victor A. de Vries, Ilenia Meloni, Adham Elwakil, Florence Hoogewoud, Bart Liefers, David Presby, Wishal D. Ramdas, Mattia Tomasoni, Reinier Schlingemann, Caroline C. W. Klaver, Sven Bergmann

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On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm by Gabriella Contardo, Roberto Trotta, Serafina Di Gioia, David W. Hogg, Francisco Villaescusa-Navarro

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Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

“…Meanwhile, the PagFm-Ghostconv Feature Fusion (PGFF) module was proposed to significantly reduce the computational overhead of the model. …”
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PolSAR image classification using complex-valued multiscale attention vision transformer (CV-MsAtViT) by Mohammed Q. Alkhatib

“…The model also demonstrates efficient computational performance, minimizing the number of parameters while preserving high accuracy. …”
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Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance by Wenchao Yin, Hong Gao, Beichen Liang, Ruichen Liu, Yue Liu, Chenxin Shen, Xiaohui Niu, Cui Wang

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Monitoring of an Electromechanical Prototype Material for Environmental Parameters Using IoT by P. Bharat Siva Varma, Kothapalli Phani Varma, V. Anjani Kranthi, Anusha Rudraraju, Nalla Nandakishore

“…The article describes a computer prototype for monitoring and controlling the environmental parameters of a communication equipment room. …”
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