Divisive Refinement of Metal Fiber at the PM0.1 Classification Stage for PM0.5–0.1 Sampling with Nanosampler by Yuta Kurotsuchi, Kazuhiko Sekiguchi, Yohei Hayakawa

“…Abstract Multi-component analysis of PM0.5–0.1 collected by Nanosampler II metal (Steel Use Stainless: SUS) wool fiber at the PM0.1 classification stage is challenging owing to difficulties in SUS wool fiber separation after collection. …”
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ENVIRONMENTAL AND HYDRO /ECO NOMICASSESSMENT AS A TOOL FOR MANAGING WATER USE AND LIFE QUALITY OF POPULATION IN RURAL TERRITORIES OF ALTAI KRAY by Elena S. Orlova, Irina D. Rybkina

“…Within the framework of environmental/water/economic estimation, we have solved two problems: 1) classification of rural regions of Altai Kray by indicators reflecting the state of the drinking water supply sector, 2) differentiation of water management problems in Altai Kray for developing a set of measures for their mitigation. …”

Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

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Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

“…Three levels of generalisability were tested: (1) classification PDP vs. PNP in datasets A and B separately; (2) classification between groups in datasets A and B together; and (3) classification where one dataset (A or B) was used for training and testing, and the other for validation. …”
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SEED (Stoke Disease Early Detection Application) - Rancang Bangun Aplikasi Mobile Berbasis Android untuk Mendiagnosis Gejala Dini Penyakit Stroke Menggunakan K-Nearest Neighbor (K-... by Dedin Anike Putra, Muhammad Dimas Setiawan Sanapiah, Azifatul Istna Hanifah, Tri Afirianto

“…There are four main features of seed : 1) classification and recommendation, 2) history, 3) health information, and 4) login and register. …”
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