Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…This addition enabled the deep learning model to more accurately measure perceptual differences between the generated images and real images, thereby guiding the network towards producing higher-quality samples. …”
Get full text

Using Evolutionary Computation on GPS Position Correction by Jung Yi Lin

“…In this paper, we proposed an evolutionary computation based technique to generate a correction function by two GPS receivers and a known reference location. …”
Get full text

Speech-dependent data augmentation for own voice reconstruction with hearable microphones in noisy environments by Mattes Ohlenbusch, Christian Rollwage, Simon Doclo

“…In this paper, we investigate several data augmentation techniques to simulate a large amount of in-ear own voice signals from a limited amount of recorded own voice signals. More specifically, we consider different models for the own voice transfer characteristics between the outer microphone and the in-ear microphone, ranging from a fixed talker-averaged relative transfer function to a phoneme-dependent individual model. …”
Get full text

Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…The warning thresholds were applied to 211 QC reports generated in 2023, of which 19.9% (n=42) triggered warnings. …”
Get full text

Wingless strain created using binary transgenic CRISPR/Cas9 alleviates concerns about mass rearing of Hermetia illucens by Zongqing Kou, Shaozhen Wang, Xingyu Luo, Jun Xu, Jeffery K. Tomberlin, Yongping Huang

“…Here, we present a binary transgenic CRISPR/Cas9 system to generate wingless strain with the potential to address this issue. …”
Get full text

Choice of activation protocol impacts the yield and quality of CAR T cell product, particularly with older individuals by Palak H Mehta, Gemma S Trollope, Patrick Leung, Shivali Savita Chinni, Anna Iasinskaia, Aaron J Harrison, Hannah Hughes‐Parry, Misty R Jenkins, Michael H Kershaw, Anthony Jaworowski, Clare Y Slaney, Rachel M Koldej, David S Ritchie, Kylie M Quinn

“…Results Older samples generated fewer, more differentiated CAR T cells than young samples, and the αCD3/CD28 mAb protocol exacerbated this, further reducing yield and quality. …”
Get full text

VISUALIZATION AND QUANTITATIVE CHARACTERIZATION OF SMALL OBJECTS IN A LENS ACOUSTIC MICROSCOPE WITH A TWO-DIMENSIONAL ARRAY by S. A. Titov, A. N. Bogachenkov

“…On the basis of the paraxial approximation it was found that the recorded spatio-temporal signal of the microscope ultrasonic array can be treated as an estimation of the scattering function of visualized objects. It was theoretically established that the scattering functions of the observed inhomogeneities can be used for the interpretation of the generated acoustic images. …”
Get full text

Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
Get full text

Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
Get full text

GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

“…Addressing these challenges typically involves the use of a GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) operator generated Bunched Phase Encoding data together with a conjugate gradient (CG) reconstruction algorithm, that mimics the functionality of the oscillating gradients required for bunched phase encoding sampling. …”
Get full text

Trajectory Planning for Autonomous Vehicles at Intersections Based on the Spatial Structure by Jiangyan Gu, Shan He, Yu Li, Qunzhi Shi, Shen Ying

“…Then, the cubic quasiuniform Basis-spline (B-spline) curve and cost function are applied to generate the optimal, static-obstacle-free path. …”
Get full text

New Lifetime Distribution and its Application to Cancer Data by Samuel Adewale ADEROJU, Nihimat Iyebuhola Aleshinloye, Bako Lukmon Taiwo, Bello Ishola Sanni

“…These new generators are obtained by adding one or more extra shape parameters to the underlying distribution or compounding two distributions to get more flexibility in fitting data in different areas such as medical sciences, environmental sciences, and engineering. …”
Get full text

Research progress on energy metabolism regulation in stored platelets by GAO Chengyan, LOU Can, LEI Hang, CAI Xiaohong

“…In the resting state, platelets primarily rely on glycolysis and aerobic oxidation to generate energy. Upon activation, platelets preferentially utilize glycolysis, as it can more rapidly provide the required ATP. …”
Get full text

A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation by Dayeon Kim, Jeongbeom Seo, Inwon Lee

“…To create the training dataset, a variety of hull forms are generated from six baseline hull forms using parametric modification function techniques. …”
Get full text

A customized image editing framework for diverse prohibited and restricted products in illegal online transactions by Wenjin Liu, Jingyu Zou, Shudong Zhang, Ning Luo, Haoming Liu

“…This framework integrates three novel components: (1) a PR-adapter that optimizes image prompts through image augmentation and compression representation techniques; (2) a text description generator combining the CLIP model and a multimodal large language model (MobileVLM) to generate more precise textual descriptions of images; and (3) an image generator, including a new loss function designed to fine-tune the stable diffusion model, enabling a better understanding of text semantics and generating images that more closely align with the textual descriptions. …”
Get full text

A Parameter-tunable Triangular Norm with Monotonic Genes by WU Lunhua, ZHAO Hui, WANG Yue

“… In order to study the optimization of Zadeh operator, a definition of parameter-tunable triangular norm with monotonic genes is given.First, we defined a kind of triangular norm Fλin the general sense generated by monotone functions using elementary operations, and then a definition of triangular conorm Gλin the general sense is given by using duality.This type of definition unifies the optimal Zadeh operator proposed by some authors.Next, this definition is applied to generate a new pair of triangular norms. …”
Get full text

No evidence for cardiac dysfunction in Kif6 mutant mice. by Abdul Hameed, Ellen Bennett, Barbara Ciani, Loes P C Hoebers, Roy Milner, Allan Lawrie, Sheila E Francis, Andrew J Grierson

“…We sought to investigate the impact of a deleterious KIF6 mutation on cardiac function in mice. Kif6 mutant mice were generated and verified. …”
Get full text

LANGUAGE SPACE OF NEURAL NETWORKS: FEATURES AND DIFFERENCES FROM NATURAL LANGUAGE by Natalia B. Egorchenkova, Olga V. Korobova

“…Modern society is developing in a world of information overload and digitalization, which has led to a need for artificial intelligence (AI) to help analyze and process information more efficiently. Most AI models use natural language processing, and while they can imitate human speech, they generate texts based on templates set by humans. …”
Get full text

An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

“…The experiment results show that the data generated by the proposed model can cover the original data distribution more comprehensively, and the mean square error (MSE), root mean square error (RMSE) and mean absolute error (MAE) of the results predicted from the generated data by the improved model are much smaller than those of the comparison model, and the prediction can be stable and accurate in all time periods.…”
Get full text

Search for molecular descriptors and computer prediction of biological activity in a series of S-derivatives (1,2,4-triazole-3(2H)-yl)methyl)thiopyrimidines by Yu. V. Karpenko, O. I. Panasenko, A. P. Litun

“…Furthermore, during biotransformation, they may generate one or more metabolites with potent bioactive properties. …”
Get full text