Life cycle assessment and life cycle cost of tofu production and its extended recycling scenario by S. Hartini, A.N. Fatliana, N.U. Handayani, P.A. Wicaksono, B.S. Ramadan, T. Matsumoto

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The antibacterial and antifungal potential of marine natural ingredients from the symbiont bacteria of mangrove by D. Pringgenies, W. Ari Setyati, F. Feliatra, D. Ariyanto

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A Case Report of Leptomeningeal Myelomatosis and Rapid Improvement with Regimen Consisting of Daratumumab, Pomalidomide, Vincristine, Procarbazine, and Dexamethasone by Jew Win Kuan, Sing Ling Chai, Pathmanathan Rajadurai, Lee Gong Lau, Joseph Uchang, Sharifah Noor Akmal Syed Husain

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Studi Literatur: Intensi Mengurangi Food Waste Behavior Ditinjau dari Theory of Planned Behavior by Ayu Anggraini

“…Dalam sepanjang proses rantai makanan, tahap konsumsi oleh konsumen merupakan penyumbang terbesar bagi timbulnya sampah makanan, yaitu sekitar 35%. Timbulan sampah makanan seringkali terjadi akibat perilaku membuang makanan (food waste behavior) . …”
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PEMANFAATAN LIMBAH KULIT PISANG UNTUK MENGHASILKAN PUPUK ORGANIK CAIR (POC) by Kusna Ramdani Kusna

“…The study was conducted at Jalan Mulawarman III Number 3 RT 02 RW 01 Kramas Village, Tembalang District, Semarang City.  Compost physical quality test results showed that compost was blackish brown and smelled typical of bananas. …”
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Solar parking lot capacity: an abundant dual-use alternative to meet demand for the renewable energy transition by Scott Markwith

“…Most utility-scale solar facilities (USSFs) in the United States (US) are planned or installed in grasslands, pastures, agriculture land, and timberland, with aggressive future expansion plans. …”
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Carbon sequestration rate in sediment mangroves from natural and rehabilitated mangroves by D. Ariyanto, D. Pringgenies

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Analysis Model of Giant Prawns Population (Macrobrachium rosenbergii) in Estuary Edge of Sembakung Waters, Nunukan, Indonesia by Agus Indarjo, Gazali Salim, Christine Dyta Nugraeni, Lukman Yudho Prakoso, Permana Ari Soejarwo, Rukisah Rukisah, Yen Thi Hong Pham, Achmad Daengs GS, Hariyadi Hariyadi, Abdul Jabarsyah

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Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

“…An analysis on the current trends addressing the Class Imbalanced Learning methods is essential in domain of SDP. …”
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P2P Traffic Identification Based Over-Sampling Technique by Yaguan Qian, Min Zhang

“…A new approach that transfers the multi-class imbalanced problem into simple two-class imbalanced problem was proposed, and a mended SMOTE over-sampling algorithm to enrich the P2P concept was applied. …”
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Optimasi Data Tidak Seimbang pada Interaksi Drug Target dengan Sampling dan Ensemble Support Vector Machine by Nabila Sekar Ramadhanti, Wisnu Ananta Kusuma, Annisa Annisa

“…This unknown interaction led drug target interaction to become imbalanced data. A really imbalanced data may cause bias to prediction result. …”
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Research on intrusion detection method of marine meteorological sensor network based on anomalous behaviors by Xin SU, Tian TIAN, Gong Ziyang, Yiqing ZHOU

“…To deal with the abnormal data flow attacks faced by the marine meteorological sensor network (MMSN), analyze the security mechanism, and aim at the complex and huge network structure and the extremely imbalanced data flow in the nodes, the intrusion detection method of marine meteorological sensor network based on anomalous behaviors was studied, and intrusion detection system (IDS) was built.The imbalance of dataset was considered emphatically, and the effective data generation was realized by using depth generation network CVAE-GAN to learn the distribution of minority classes in the dataset.OPTICS-based denoising algorithm was used to remove the noise points in majority classes and clarify the category boundaries.From the data perspective, the imbalance rate of dataset was reduced, the influence of imbalanced dataset on IDS was reduced, and the ability of classifier to identify minority classes of abnormal traffic was improved.The simulation results show that the proposed system can effectively identify all kinds of abnormal traffic, especially minority classes of them, and the imbalanced dataset processing method can significantly improve the detection ability of the classifier.…”
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Development of risk models for early detection and prediction of chronic kidney disease in clinical settings by Pegah Bahrami, Davoud Tanbakuchi, Monavar Afzalaghaee, Majid Ghayour-Mobarhan, Habibollah Esmaily

“…Data initially remained imbalanced to investigate the ability of models to work on imbalanced datasets. …”
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Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection by Arief Tri Arsanto, Arif Faizin, Moch lutfi, Zulfatun Nikmatus Saadah

“…The focus of this research is card fraud classification. Detection of imbalanced datasets or imbalanced classes is carried out using the Naive Bayes method as a classification algorithm. …”
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Research on intrusion detection for maritime meteorological sensor network based on balancing generative adversarial network by Xin SUN, Guifu ZHANG, Hongyan XING, Wang Zenghui

“…Aiming at the problem that the resources of maritime mobile terminals were limited and the network traffic was imbalanced in the MMSN (maritime meteorological sensor network) environment, which made it difficult to detect network intrusion accurately, a mobile edge computing based physical architecture of MMSN was proposed, and an intrusion detection model based on balancing generative adversarial network was proposed.First, an advanced balancing generative adversarial network was adopted to augment the imbalanced data.Then, a lightweight network based on group convolution was applied to intrusion data classification.Finally, compared with conventional data augmentation models, the computer simulation proves that the proposed model has a higher ability to recognize various attacks, especially minority class attacks on MMSN.…”
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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…In this research study, we propose a strategy for dealing with the problems of imbalanced datasets and high dimensionality in IDSs. …”
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CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

“…However, in real-world scenarios, people’s medical habits and low prevalence of diseases often lead to few-shot and imbalanced longitudinal EHR data. This has become an urgent challenge for chronic disease risk prediction based on EHR. …”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

“…The proposed model integrates distance and cosine similarity metrics to enhance classification performance, particularly for imbalanced datasets. Principal component analysis is employed to reduce dimensionality, significantly improving computational efficiency without sacrificing accuracy. …”
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FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining by K. R. Seeja, Masoumeh Zareapoor

“…This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. …”
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A Group Feature Screening Procedure Based on Pearson Chi-Square Statistic for Biology Data with Categorical Response by Hanji He, Jianfeng He, Guangming Deng

“…The performance of the proposed method is illustrated by simulation studies, where the proposed method performs well with imbalanced data and multicategorical responses. In the application of lung cancer diagnosis, the proposed method for imbalanced data categorization is impressive, and the dimension reduction using linear discriminant is still good.…”
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