Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms [PDF]
Scientific ReportsThe world has a higher count of death rates as a result of Alcohol consumption. Identification is possible because Alcoholic EEG waves have a certain behavior that is totally different compared to the non-alcoholic individual.
Gowri Shankar Manivannan +3 more
doaj +2 more sources
PERBANDINGAN SUPPORT VECTOR MACHINE DAN DECISION TREE MENGGUNAKAN BINARY DRAGONFLY ALGORITHM PADA KLASIFIKASI INDEKS KHUSUS PENANGANAN STUNTING (IKPS) KABUPATEN/KOTA DI INDONESIA [PDF]
MATHunesa: Jurnal Ilmiah MatematikaStunting merupakan kondisi hambatan pertumbuhan dan perkembangan anak akibat defisiensi gizi kronis dan infeksi berulang. Dalam kondisi ini, anak menunjukkan tinggi atau panjang tubuh dibawah ukuran standar yang ditetapkan. Untuk menggabungkan upaya percepatan penurunan stunting yang telah dilakukan di tingkat nasional, provinsi, dan kabupaten/kota ...
Andini Eka Saputri Pakaya +2 more
openaire +2 more sources
SKOOTS: Skeleton-Oriented Object Segmentation for Mitochondria in High-Resolution Cochlear EM Datasets. [PDF]
Adv Sci (Weinh)Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Buswinka CJ +3 more
europepmc +2 more sources
A survey on dragonfly algorithm and its applications in engineering
, 2021 The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas.
Fattah, Polla +5 more
core +2 more sources
MSCDNet-based multi-class classification of skin cancer using dermoscopy images [PDF]
PeerJ Computer Science, 2023 Background Skin cancer is a life-threatening disease, and early detection of skin cancer improves the chances of recovery. Skin cancer detection based on deep learning algorithms has recently grown popular.
Vankayalapati Radhika, B. Sai Chandana
doaj +2 more sources
A Multimodal Magnetically Driven Soft Robot With Integrated Actuation-Sensing Based on Photothermal Reprogramming Technology. [PDF]
Adv Sci (Weinh)This work reports a thermally safe, photothermally reprogrammable magnetic soft robot with its reprogramming temperature tuned to ∼39.5°C for biocompatibility. It achieves multimodal locomotion (max speed of 1.8 BL/s) and integrates liquid‐metal capacitive sensing to monitor self‐motion and detect environmental changes in simulated gastric environments,
Yang L +5 more
europepmc +2 more sources
Diagnostics, 2023 One of the most prevalent chronic conditions that can result in permanent vision loss is diabetic retinopathy (DR). Diabetic retinopathy occurs in five stages: no DR, and mild, moderate, severe, and proliferative DR.
Uzair Ishtiaq +2 more
doaj +1 more source
Tubule and microbranch variations in human dentine: A quantitative 3D study with serial block-face scanning electron microscopy. [PDF]
J MicroscABSTRACT Objective: Microbranches exist within dentine, providing a network of fluid filled connections between tubules. This study used serial block‐face scanning electron microscopy to generate 3D volumes of dentine from different tooth locations, allowing for investigations of the microbranch morphology, the microbranch network characteristics and ...
Harding B +6 more
europepmc +2 more sources
Diagnosis of cardiac arrhythmia using Swarm-intelligence based Metaheuristic Techniques: A comparative analysis [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2020 INTRODUCTION: Heart diseases are the prominent human disorders that have significantly affected the lifestyle and lives of the victims.
Samriti Sharma, Gurvinder Singh
doaj +1 more source
XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications
Applied Sciences, 2020 Industry 4.0 is the fourth generation of industry which will theoretically revolutionize manufacturing methods through the integration of machine learning and artificial intelligence approaches on the factory floor to obtain robustness and speed-up ...
Mojtaba Ahmadieh Khanesar +3 more
doaj +1 more source