FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection by Gege Ding, Yuhang Shi, Zhenquan Liu, Yanjuan Wang, Zhixuan Yao, Dan Zhou, Xuexiu Zhu, Yiqin Li

“…In addition, the average detection time of a single image was 0.0455 s, marking a 9.2% improvement.…”
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Using Depth Cameras for Recognition and Segmentation of Hand Gestures by Khalid Twarish Alhamazani, Jalawi Alshudukhi, Talal Saad Alharbi, Saud Aljaloud, Zelalem Meraf

“…In this article, we will look at how infrared camera images can be used to segment, classify, and recognise one-handed gestures in a variety of lighting conditions. …”
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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…Segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) data presents a significant challenge due to the necessity for large volumes of training data and a sophisticated training process. …”
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Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia by M.S. Boori, K. Choudhary, A. Kupriyanov

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Migration and Residual Trapping of Immiscible Fluids during Cyclic Injection: Pore-Scale Observation and Quantitative Analysis by Haejin Ahn, Seon-Ok Kim, Minhee Lee, Sookyun Wang

“…The multiphase flow and immiscible displacement phenomena during drainage and imbibition processes in pore networks were visually observed, and the temporal and spatial changes in distribution and saturation of the two immiscible fluids were quantitatively estimated at the pore scale using image analysis techniques. The results showed that the mobile region of invading fluids decreased asymptotically as the randomly diverged flow paths gradually converged into less ramified ones over multiple cycles. …”
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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…We applied our models using two benchmarking image datasets, and the results showed that our models can achieve competitive or better classification performance and produce intuitive interpretations compared with the typical NMF and competing multilayer models.…”
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Development of Deep Intelligence for Automatic River Detection (RivDet) by Sejeong Lee, Yejin Kong, Taesam Lee

“…Through the augmentation feature in the Roboflow platform, many river images were employed to train and analyze the river spatial information of each applied image. …”
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Visual Feedback System Supporting Robotic Manipulation of Hemp Plants by Marek Kraft, Bartosz Ptak, Mateusz Piechocki, Dominik Pieczyński, Kamil Młodzikowski, Bartłomiej Kulecki, Dominik Belter

“…The solution uses an industry-standard, inexpensive RGB-D camera as the input data source to derive control signals controlling the robotic arm and end effector. Input image data processing is performed by a dedicated neural network model trained using a dataset created specifically for the described task to achieve detection by stalk segmentation and postprocessing. …”
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Lightweight object detection model for food freezer warehouses by Jiayu Yang, Zhihong Liang, Mingming Qin, Xingyu Tong, Fei Xiong, Hao An

“…Additionally, the SimAM attention mechanism is applied to the Backbone’s final layer, enabling focus on critical image information without increasing parameters. …”
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Research of the peculiarities of enterpises՚ work organization in the intercultural space by M. A. Gil Martínez, Yu. V. Vorontsova

“…Effective management of the knowledge that people from different cultures bring, as well as the spaces in which they will interact, сontribute to strengthening the corporate image of the organization and its positioning in the international market.…”
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Effect of olivine as MgO-bearing flux on low- and high-alumina iron ore pellets by Umadevi T., Sah R.

“…An optical microscope with an image analyzer, SEM-EDS, was used to assess the mineralogical phases present in the pellets and the chemical analysis of the mineralogical phases, respectively. …”
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Angular Photometry of Biological Tissue by Ellipsoidal Reflector Method by M. A. Bezuglyi, N. V. Bezuglaya, A. V. Ventsuryk, K. P. Vonsevych

“…Also created the scheme of image processing at angular photometry by ellipsoidal reflector.The research represents results of experimental series for samples of muscle tissues at wavelengths 405 nm, 532 nm, 650 nm. …”
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Hyperreflective Intraretinal Spots in Diabetics without and with Nonproliferative Diabetic Retinopathy: An In Vivo Study Using Spectral Domain OCT by Stela Vujosevic, Silvia Bini, Giulia Midena, Marianna Berton, Elisabetta Pilotto, Edoardo Midena

“…Each image was analyzed by two independent, masked examiners. …”
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Long Short-Term Memory Projection Recurrent Neural Network Architectures for Piano’s Continuous Note Recognition by YuKang Jia, Zhicheng Wu, Yanyan Xu, Dengfeng Ke, Kaile Su

“…Long Short-Term Memory (LSTM) is a kind of Recurrent Neural Networks (RNN) relating to time series, which has achieved good performance in speech recogniton and image recognition. Long Short-Term Memory Projection (LSTMP) is a variant of LSTM to further optimize speed and performance of LSTM by adding a projection layer. …”
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Yorùbá Literary Artists on Youths and Parenthood by Olufadekemi Adagbada, Olatunde Adeleye Adeyemo, Ejitoyosi O. Salami

“…The nation now has a high number of misguided youths who portray demeaning image about Nigeria. This study, hinged on Elkind’s (1967) constructionists’ perspective of adolescents’ cognitive development and womanists’ theory as opined by Hudson-Weems (1993) and Kolawole (1997), to the effect that the desire of the agitating African women is complementarity with men in all aspects of life. …”
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Lateral Heel Pain Caused by Impingement of Hypertrophic Peroneal Tubercle and Os Peroneum by Ryosuke Takada, Song Ho Chang, Taro Kasai, Masashi Naito, Jun Hirose, Sakae Tanaka, Takumi Matsumoto

“…Careful preoperative magnetic resonance imaging, dynamic ultrasonographic image, and block injection suggested an impingement of HPT and OP as a cause of lateral foot pain. …”
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A Novel Segmentation Method for Furnace Flame Using Adaptive Color Model and Hybrid-Coded HLO by Pinggai Zhang, Minrui Fei, Ling Wang, Xian Wu, Chen Peng, Kai Chen

“…Then, the best NACMM with optimal parameters is adopted to segment the combustion flame image more precisely and effectively. Finally, the experiment results show that the developed AHcHLO obtains the best-known overall results so far on benchmark functions and the proposed NACMM outperforms state-of-the-art flame segmentation approaches, providing a high detection accuracy and a low false detection rate.…”
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Determination of diagnostic reference level (DRL) on computed tomography (CT) non contrast examination by Mulyati Sri, Rasyid Rasyid, Daryati Siti, Latifah Leny

“…The DRL was related to efforts to optimize radiation protection must be monitored periodically on CTDI Vol and DLP for lowest possible dose and optimum image quality results. Determination of DRL values from 75% percentile from recording mean CTDI vol and total DLP MSCT examination of head and abdomen non-contrast. …”
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Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China by Jun Wang, Qian He, Ping Zhou, Qinghua Gong

“…We then used consecutive Landsat 8 satellite images to obtain the spatial distribution of four types of soil erosion and carried out ground truth checking of the RUSLE. …”
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Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network by Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng

“…As an attempt to fill this gap, in this paper, a PHHP image dataset, consisting of 18,000 PHHP samples is established. …”
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