In recent years, a deep learning model called convolutional neural network with an ability of extracting features high-level abstraction from minimum preprocessing data has been widely used. this research, we proposed new approach in classifying DNA sequences using the while considering these as text data. We used one-hot vectors to represent input model; therefore, it conserves essential position information each nucleotide sequences. Using 12 sequence datasets, evaluated our and achieved...

Protein function is regulated by an important mechanism known as post-translational modification (PTM). Covalent and enzymatic protein modifications are added during biosynthesis, such alterations significantly influence the regulation of gene activity functionality proteins. Glycosylation, one type PTM, involves adding sugar groups to a protein's structure. Numerous illnesses, diabetes, cancer, flu, have been linked glycosylation. Therefore, it critical predict presence glycosylation,...

Proteins play a vital role in life as essential macromolecules, consisting of linear heteromeric biopolymers formed by amino acids covalently bonded through peptide bonds. They contribute to cell development and bolster the body's defense mechanisms. Post-translational modification processes, such glycosylation, are necessary for proteins function optimally. Glycosylation involves adding sugar groups proteins, playing critical various protein folding processes. Dysregulation glycosylation...

One of the common and important post-translational modification (PTM) types is phosphorylation. Protein phosphorylation used to regulate various enzyme receptor activations which include signal pathways. There have been many significant studies conducted predict sites using machine learning methods. Recently, several researchers claimed deep based methods as best for sited prediction. However, performance these were backed up with massive training data in researches. In this paper, we study...

Abstract Batik is a famous name of traditional fabric from Java. It has been admitted as one if the cultural heritage Indonesia by UNESCO since October 2 nd , 2009. Over time, copied and modified many regions in resulting some new unique motifs. Lampung an sample them. This paper deals with k-Nearest Neighbor classification motifs (pattern) Lampung. The known consist Jung Agung, Siger Kembang Cengkih, Ratu Sembagi . original image samples are stored RGB. They firstly resized into 50 x pixels...

As a key technology of rapid and low-cost drug development, repositioning is getting popular. In this study, text mining approach to the discovery unknown drug-disease relation was tested. Using word embedding algorithm, senses over 1.7 million words were well represented in sufficiently short feature vectors. Through various analysis including clustering classification, feasibility our Finally, trained classification model achieved 87.6% accuracy prediction cancer treatment succeeded...

In many animal-related studies, a high-performance animal behavior recognition system can help researchers reduce or get rid of the limitation human assessments and make experiments easier to reproduce. Recently, although deep learning models are holding state-of-the-art performances in action tasks, these not well-studied applying tasks. One reason is lack extensive datasets which required train for good performances. this research, we investigated two current I3D model R(2 + 1)D model,...

To classify DNA sequences, k-mer frequency is widely used since it can convert variable-length sequences into fixed-length and numerical feature vectors. However, in case of sequence classification, subsequences starting at a specific position the given also be as categorical features. Through performance evaluation on six datasets our algorithm based above idea achieved comparable or better than other state-of-the art algorithms.

Background Conventional in vivo methods for post-translational modification site prediction such as spectrophotometry, Western blotting, and chromatin immune precipitation can be very expensive time-consuming. Neural networks (NN) are one of the computational approaches that predict effectively site. We developed a neural network model, namely Sequential Spatial Methylation Fusion Network (SSMFN), to possible methylation sites on protein sequences. Method designed our model able extract...

Phosphorylation of protein is an important post-translational modification that enables activation various enzymes and receptors included in signaling pathways. To reduce the cost identifying phosphorylation site by laborious experiments, computational prediction it has been actively studied. In this study, adopting a new set features applying feature selection Random Forest with grid search before training Support Vector Machine, our method achieved better or comparable performance for two...

We developed a ground observation system for solid precipitation using two-dimensional video disdrometer (2DVD). Among 16,010 particles observed by the system, around 10% of them were randomly sampled and manually classified into five classes which are snowflake, snowflake-like, intermediate, graupel-like, graupel. At first, each particle was represented as vector 72 features containing fractal dimension box-count to represent complexity shape. Feature analysis on dataset clarified...

Beberapa faktor menyebabkan rendahnya kualitas dan produktivitas kopi di Indonesia. Alasan utama permasalahan ini adalah gangguan hama penyakit. Sebagian besar petani Indonesia, khususnya Provinsi Lampung yang tidak terdidik. Para masih menggunakan cara tradisional dalam mengidentifikasi Dengan sistem pakar diharapkan dapat melakukan diagnosis penyakit secara akurat. Tujuan dari penelitian membangun berbasis web untuk mendiagnosis tanaman kopi. Untuk kopi, teknik Breadth First Search...

Abstract Jurnal Komputasi is an online journal written by researchers and published the Department of Computer Science, University Lampung. Specific scientific information contained in journals difficult to find because have not been structured are classified into more specialized categories computer science. Text mining can convert shape a homogeneous data form it. 144 abstracts collected one corpus document CSV format used as research dataset. Journal abstract classification done using...

Infertility is a crucial reproductive problem experienced by both men and women. the inability to get pregnant within one year of sexual intercourse. This study focuses on infertility in men. Many causes that can cause including sperm quality. Currently, identification human still done manually observing with help humans through microscope, so it requires time high costs. Therefore, technology needed determine quality form deep learning based video. Deep algorithms support this research...

Tapis Fabric is a traditional clothing of the people Lampung in form shawl cloth or sarong made woven cotton thread with various motifs and ornaments, silver gold by embroidered punched. The pattern filter quite complex, unlike fabric general, its own uniqueness that has become culture society until now. This will be investigated identifying three types cloth, namely Sasab, Bintang Perak Gunung Beradu see results identification. method used to identify combining Gabor Filter feature...

In protein sequence classification research, it is popular to convert a variable length of into fixed numerical vector by using various descriptors, for instance, composition k-mer composition. Such position-independent descriptors are useful since they applicable any sequence; however, positional information subsequence discarded even though might have high contribution performance. To solve this problem, we divided the original some segments, and then calculated features them. It enables...

Dengue fever is a one of the dangerous diseases and very often causes casualties every year, especially in tropics or subtropics countries. cases increase during rainy season, many factors affect spread dengue fever, such as vegetation, population landfills. The aim this research to predict number using support vector machine. data used are Bandar Lampung City, weather data, distance matrix between events with each other. amount 1,080 3 kernels: linear, gaussian polynomial. In study four...

<p><em>Tuberkulosis (TB atau TBC) merupakan salah satu penyakit infeksi yang disebabkan oleh Bakteri Mycobacterium tuberculosis. tersebut bakteri sangat kuat sehingga dalam pengobatannya memerlukan waktu cukup lama. Pengobatan tuberkulosis dilakukan selama 6-9 bulan secara rutin dengan sedikitnya 3 macam jenis obat. Saat ini kebanyakan masyarakat menganggap batuk jangka berbulan-bulan biasa, jika dicermati gejala ditimbulkan tuberkulosis, yaitu panjang. Pada penelitian digunakan...

Breast cancer accounts for 25% of all diagnoses and 16% cancer-related deaths among women globally, with high mortality rates due to late diagnosis. Early detection relies on imaging techniques such as mammography, histopathology, breast ultrasound, mammography being the gold standard its proven detect cancer, thus it is effective treatment. However, mammogram images often produce noise artefacts, complicating early-stage emphasizing need advanced image processing. Clustering algorithms...

This study addresses the challenge of selecting research topics for undergraduate students, focusing on computer science, by evaluating a recommendation model based k-Nearest Neighbor algorithm (kNN). The objective is to enhance accuracy topic recommendations in presence imbalanced data. methodology involves data cleaning, transformation, and correlation-based feature selection, with particular focus addressing missing values optimizing set. Synthetic Minority Over-Sampling Technique (SMOTE)...

The rise in mortality rates due to leukemia has fueled the swift expansion of publications concerning disease. increase dramatically affected enhancement biomedical literature, further complicating manual extraction pertinent material on leukemia. Text classification is an approach used retrieve and top-notch information from literature. This research suggests employing LSTM-CNN hybrid model tackle imbalanced data a dataset PubMed abstracts centred Random Undersampling Oversampling...

Post Translational Modification (PTM) is an important mechanism involved in regulating protein function. Post-translational modification refers to the addition of covalent and enzymatic modifications proteins biosynthesis, which has role modifying function gene expression. One post-translational glycosylation. Glycosylation a sugar group structure. type glycosylation glycosylation, occurs sequence O. been linked several illnesses, including diabetes, cancer, flu. Therefore, it anticipate...

Imbalanced data is one of the crucial problems in machine learning and mining which may provide low accuracy minority classes makes classification method not fully optimized. The Arginine Methylation dataset for example, gives a large amount imbalanced data. post-translational modification processes that occurs arginine protein affects signal transduction RNA binding inside cytoplasms. Therefore, it essential to handle classification. Synthetic Minority Oversampling Technique (SMOTE) an...