LDWLE: self-supervised driven low-light object detection framework by Xiaoyang shen, Haibin Li, Yaqian Li, Wenming Zhang

“…Additionally, LDWLE is a versatile training framework that can be implemented on most one-stage object detection algorithms. These algorithms typically consist of three components: the backbone, neck, and head. …”
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Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

“…The Isolation Forest algorithm is then used to automatically identify rainfall with flood potential. …”
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Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy by Shan He, Jian Ye, Yu Wang, Lu yang Xie, Si Yi Liu, Qin kai Chen

“…Immune cell infiltration in DN was assessed using the ssGSEA algorithm, and the expression levels of EMAPRDEGs in DN tissues were validated by quantitative real-time PCR (qRT-PCR). …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…Equipped with sensors, cameras, and intelligent algorithms, these robots are capable of identifying ripe fruits, detecting and removing weeds, and performing precise pruning operations. …”
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Genetic Fuzzy System untuk Klasifikasi Tutupan Lahan Berdasarkan Foto Udara Unmanned Aerial Vehicle (UAV) by Budi Darma Setiawan, Alfi Nur Rusydi

“…The genetic fuzzy system is a classification method using a fuzzy system whose membership function is optimized using a genetic algorithm. The process consists of two stages, namely the training process, to find good fuzzy rules, and then proceed with tuning processes, namely the process of shifting the value constraints on the membership function of the fuzzy set used. …”
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Clustering Tingkat Risiko Klasifikasi Lapangan Usaha (KLU) Menggunakan Metode K-Means by Jessica Rahmawati Nugroho, Yoyon K Suprapto, Eko Setijadi

“…Thus, in this study, the researcher tries to implement the clustering method with the K-Means algorithm to grouping the business classifications (Klasifikasi Lapangan Usaha/KLU) according to the risk of non-compliance level and the fiscal impact on revenue which is divided into high, medium, and low. …”
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Predictors for recurrence of chronic osteomyelitis following long bones cavity defect replacement with synthetic materials by Alexander V. Afanasyev, Svetlana A. Bozhkova, Vasily A. Artyukh

“…Based on the scale, an algorithm of treatment for these patients was developed.…”
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Primary HIV Drug Resistance among Recently Infected Cases of HIV in North-West India by C. K. Chauhan, P. V. M. Lakshmi, V. Sagar, A. Sharma, S. K. Arora, R. Kumar

“…The level of primary drug resistance was studied among 37 recently infected HIV cases identified by Limiting antigen (Lag) avidity assay based on modified Recent Infection Testing Algorithm (RITA). The reverse transcriptase region of HIV-1 pol gene (1-268 codons) was genotyped. …”
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Echinococcal Cyst Blockade — the Rare Cause of Acute Pancreatitis and Obstructive Jaundice by S. A. Budzinskiy, S. G. Shapovaliants, R. V. Plakhov, M. V. Murashkina, E. A. Vorobyeva, D. R. Berdieva, P. V. Usyaky, E. D. Fedorov

“…Aim: demonstrate an algorithm for the diagnosis and treatment of acute pancreatitis and obstructive jaundice caused by obstruction of the terminal part of the common bile duct by daughter echinococcal cyst.Key points. …”
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Research on leakage and diffusion behavior of hydrogen doped natural gas in integrated pipeline corridors based on data drive by Xiaolong Gong, Hua Li, Cheng Li, Mingyue Kou, Lingxu Kong, Hongcheng Liu

“…In addition, the backpropagation neural network (BPNN) combined with the global optimization capability of genetic algorithm and the nonlinear mapping capability of neural network is used in this paper to provide a reliable technical means for the accurate prediction of explosion risk volume, which has important application value in the safety design of pipeline corridor and accident prevention and control. …”
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Klasifikasi Kebutuhan Jumlah Produk Makanan Customer Menggunakan K-Means Clustering dengan Optimasi Pusat Awal Cluster Algoritma Genetika by Yudi Istianto, Shofwatul 'Uyun

“…This study tries to apply data mining to classify the number of customer needs for food products using k-means clustering with optimization initial cluster center genetic algorithm. In this study used 210 data from product sales for three weeks. …”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

“…Finally, unlike traditional approaches that use uniform feature weighting, our proposed variance adaptive AdaBoost (VA-AdaBoost) algorithm uniquely incorporates accelerometer signal variance to adaptively weight samples for feature training. …”
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Olive Oil Total Phenolic Contents and Sensory Sensations Trends during Oven and Microwave Heating Processes and Their Discrimination Using an Electronic Tongue by Rafaela Prata, José A. Pereira, Nuno Rodrigues, Luís G. Dias, Ana C. A. Veloso, Susana Casal, António M. Peres

“…Finally, the potentiometric electronic tongue together with linear discriminant analysis-simulated annealing algorithm allowed satisfactory discrimination (sensitivities of 94±4%, for repeated K-fold cross-validation) of olive oils subjected to intense microwave heating (5–10 min, 160–205°C) from those processed under usual cooking conditions (oven heating during 15–60 min or microwave heating during 1.5–3 min, 72–165°C). …”
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Nerve‐Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele‐Healthcare by Tianliang Li, Qian'ao Wang, Zichun Cao, Jianglin Zhu, Nian Wang, Run Li, Wei Meng, Quan Liu, Shifan Yu, Xinqin Liao, Aiguo Song, Yuegang Tan, Zude Zhou

“…A speech recognition and human‐machine interaction system, based on sensor signal acquisition, is constructed, and the convolutional neural network algorithm is integrated for disease assessment. By integrating sensing, wireless transmission, and artificial intelligence (AI), a smart tele‐healthcare system based on HOWS sensors is demonstrated to hold great potential for early warning and rehabilitation monitoring of neurological diseases.…”
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A Binocular Vision-Assisted Method for the Accurate Positioning and Landing of Quadrotor UAVs by Jie Yang, Kunling He, Jie Zhang, Jiacheng Li, Qian Chen, Xiaohui Wei, Hanlin Sheng

“…To tackle the problem of poor controller performance affecting UAV tracking and landing accuracy, a feedforward model predictive control (MPC) algorithm is integrated into a mobile landing control method. …”
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Diagnostics and Treatment of Peptic Ulcer in Adults (Clinical Guidelines of the Russian Gastroenterological Association, the Russian Society of Colorectal Surgeons, the Russian End... by V. Т. Ivashkin, I. V. Mayev, Р. V. Tsarkov, М. Р. Korolev, D. N. Andreev, Е. К. Baranskaya, D. S. Bordin, S. G. Burkov, А. А. Derinov, S. К. Efetov, Т. L. Lapina, Р. V. Pavlov, S. S. Pirogov, Е. А. Poluektova, А. V. Tkachev, А. S. Trukhmanov, А. I. Uljanin, Е. D. Fedorov, А. А. Sheptulin

“…They include the criteria for assessment of the quality of medical care, the algorithm of the doctor's actions, as well as information for the patient.Conclusion. …”
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An Ultrasound-Based Non-Invasive Blood Pressure Estimation Method Based on Optimal Vascular Wall Tracking Position by Liyuan Liu, Xingguang Geng, Fei Yao, Yitao Zhang, Haiying Zhang, Yunfeng Wang, Zhaoying Zheng

“…To validate the effectiveness of the proposed algorithm, 25 volunteers participated in the study. …”
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Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach by Alessia Vignoli, Giovanni Bellomo, Federico Paolini Paoletti, Claudio Luchinat, Leonardo Tenori, Lucilla Parnetti

“…A panel of 26 metabolites and 112 lipoprotein-related parameters was quantified and the logistic LASSO regression algorithm was employed to identify the optimal combination of metabolites-lipoproteins and their ratios to discriminate the groups of interest. …”
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

“…Both conventional radiological features (Hounsfield units, HUs) and radiomic features extracted from areas predicted by the deep learning models were used to develop an algorithm for classifying renal tumor subtypes via a random forest classifier. …”
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Extensive Use of Interventional Therapies Improves Survival in Unresectable or Recurrent Intrahepatic Cholangiocarcinoma by Ricarda Seidensticker, Max Seidensticker, Kathleen Doegen, Konrad Mohnike, Kerstin Schütte, Patrick Stübs, Erika Kettner, Maciej Pech, Holger Amthauer, Jens Ricke

“…Treatment followed an algorithm established by a multidisciplinary GI-tumor team. …”
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