A transformer based multi task learning approach to multimodal hate speech detection by Prashant Kapil, Asif Ekbal

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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

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DentoMorph-LDMs: diffusion models based on novel adaptive 8-connected gum tissue and deciduous teeth loss for dental image augmentation by Hanaa Salem Marie, Mostafa Elbaz, Riham sobhy Soliman, Amira Abdelhafeez elkhatib

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Threshchronic: Concept proposal of a fuzzy bayesian tool for health support by Suvaila Rares

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Soybeans tempeh image dataset for tempeh maturity detectionGitHub by Riccosan, Soni Yora, Nur Azmi Karim, Ezrela Fidelyn Surya Wibisana

“…The creation of tempeh until now still utilizes the traditional method from the beginning, observation, until the collection of the final product, which still includes the human role inside the process. The process of creating tempeh products takes approximately 1 to 4 days. …”
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Dynamic Characteristics of Cylinder Push in Bearing Cylindrical Ｒoller Detection System by CHEN Xiao-jian, BAO Yu-dong, PAN Cheng-yi, ZHAO Yan-ling, ZHANG Shi-heng

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SPARTA: Interpretable functional classification of microbiomes and detection of hidden cumulative effects. by Baptiste Ruiz, Arnaud Belcour, Samuel Blanquart, Sylvie Buffet-Bataillon, Isabelle Le Huërou-Luron, Anne Siegel, Yann Le Cunff

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Vahagn: VisuAl Haptic Attention Gate Net for slip detection by Jinlin Wang, Yulong Ji, Hongyu Yang

“…The success of a specific grasping maneuver is contingent upon the confluence of two factors: the spatial accuracy of the contact and the stability of the continuous process.MethodsIn this paper, for the task of perceiving grasping results using visual-haptic information, we propose a new method for slip detection, which synergizes visual and haptic information from spatial-temporal dual dimensions. …”
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Related and independent variable fault detection method based on KPCA-SVM by GUO Jinyu, YU Huan, LI Yuan

“…In the real industrial process, some process variables are independent of other variables, a fault detection method of related and independent variable based on kernel principal component analysis and support vector machine (KPCA-SVM) is proposed to detect these independent variables separately from related variables. …”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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Comparative study of apoptosis-detecting techniques: TUNEL, apostain, and lamin B by Jirina Prochazkova, Dana Kylarova, Pavel Vranka, Vaclav Lichnovsky

“…Unfortunately, so is its detection. The concept of detection sensitivity reflects not only the ability of a particular technique to label most of the cells displaying the appropriate marker but also the possibility of labeling cells in the earliest phase of the apoptotic process. …”
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AI-based defect detection and self-healing in metal additive manufacturing by Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi

“…This pilot study develops a process to evaluate in-situ defect detection and self-healing in Ti-6Al-4V fabricated using laser-based powder bed fusion. …”
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On Some Issues of Handprints Detection and the Mechanism of Trace Formation on Porous Surfaces by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, T. Yu. Yudina, E. Yu. Rusanov

“…For more comprehensive research of this process, the authors of the article have conducted multiple experiments on the ninhydrin reaction with the sweat and grease of the deposits, analyzed the interaction of the chemical agent with the sweat and grease, with the properties of porous (paper) materials using electron microscopy, and also looked into the display features of pore and edgeoscopic signs in the deposits under different storage conditions.As a result of the research, it is shown that such parameters of deposits carriers (paper) as porosity and hydrophilic properties and ambient humidity as well as the time of storage have a significant influence on the process of detecting the sweat and grease deposits on porous surfaces and their quality.…”
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Attention U-Net-based semantic segmentation for welding line detection by Hunor István Lukács, Bence Zsolt Beregi, Balázs Porteleki, Tamás Fischl, János Botzheim

“…Abstract In industrial processes, quality assurance through methods such as visual inspection is essential for ensuring process stability. …”
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Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression by K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, T. Becker

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Design of Display Software for Vehicle-mounted Catenary Detection Device on EMUs by LI Rui, YANG Wuzhou, RAO Tiangui

“…To this end, this paper presented a design of high-definition display software for EMU vehicle-mounted catenary detection device. It adopts the idea of modular design, separating the interface display and data communication, separating the video data processing and video display process. …”
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A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection by Lin Li, Koshin Ono, Chun-Kit Ngan

“…For insurance companies, it is very time-consuming and expensive to process claims for detecting and classifying vehicle damages; thus, deep learning techniques have been used to automate this process to reduce the time and the cost. …”
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Application of Closed Reconstruction Method in Error Detection of RV Cycloidal Gear by Meng Tian, Tianxing Li, Yulong Li, Jinfan Li

“…Cycloidal gear adopts one-dimensional probe sampling mechanism when detecting on the gear measuring center. Due to the sensitive direction of one-dimensional probe is inconsistent with the definition direction of tooth profile normal error， the error calculation process is tedious， and even the error result is inaccurate， which can not truly reflect the machining shape of the actual tooth profile. …”
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A Small Target Pedestrian Detection Model Based on Autonomous Driving by Yang Zhang, Shuaifeng Zhang, Dongrong Xin, Dewang Chen

“…To improve the accuracy of small-target pedestrian detection and the anti-interference ability of the model, a small-target pedestrian detection model that fuses residual networks and feature pyramids is proposed. …”
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Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection by Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu B. Yergaliyeva, Aziz Alotaibi

“…The clickbait search process is accomplished by incorporating the binary search features for a faster and more efficient search process for malicious content-detection. …”
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