Abstract Background Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical subtropical regions into temperate zones, posing significant public health risks. In the Basque Country region Spain, changing climatic conditions have driven spread invasive mosquitoes, increasing potential for local transmission such as dengue, Zika, chikungunya. The establishment mosquito species in new areas, coupled with rising populations viremic imported cases,...

Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical subtropical regions into temperate zones, creating significant public health risks. The establishment mosquito species in new areas increases the risk local transmission (autochthonous cases), driven by both rising populations viremic imported cases, infected travelers who can spark transmission. Such developments present challenges for systems non-endemic regions. In Spain, Basque Country...

With over 2 million new cases in 2020, breast cancer (BC) is the most common diagnosed women worldwide. Breast becoming more every year, so early identification and diagnosis are crucial for reducing mortality rate. Machine learning algorithms can uncover hidden patterns insights by analyzing massive datasets, enabling scientists to make data-driven decisions successfully address health concerns. In this paper, a performance comparison between four supervised machine techniques, namely...

Sign language is an expressive visual that uses the hand and face important tool for deaf individuals to communicate. Standard means of recognition objectives cannot recognize complex gestures effectively, in turn limiting accessibility transactions communication effectively. This project seeks close barriers by translating into speech, text, even serve as output virtual assistants. To date, prior research signing has focused primarily on identifiable gestures, often selecting a subset...

Developments in Autonomous mobile robot have come from growing need for quick and seamless delivery options. This project provides a voice-driven autonomous with effective multi-point navigation configured Cartographer SLAM. system controlled by Jetson Nano combine ROS programming real-time communication processing. SLAM is used mapping localization LIDAR sensor the uses microphone array voice recognition, therefore allowing hands-free operation. Whereas cartographer algorithm maximizes...

This paper introduces a new CBIR system based on two different approaches in order to achieve the retrieval efficiency and accuracy. Color texture information is extracted used this work form feature vector. To do extraction uses DCT Wavelet transform generate vectors of query database images. process includes separation image into R, G B planes. Further each plane divided 4 blocks for block row mean are calculated. wavelet applied over vector separately sets coefficients obtained...

An innovative idea of sectorization Full Kekre’s Wavelet transformed (KWT)[1] images for extracting the features has been proposed. The paper discusses two planes i.e. Forward plane (Even plane) and backward (Odd plane). These are sectored into 4, 8, 12 16 sectors. concept sum absolute difference (AD) proposed as similarity measuring parameters compared with well known Euclidean distance (ED).The performances different sector sizes in combination measures checked. Class wise retrieval...

Segmentation is very basic and important step in computer vision image processing. For medical images specifically accuracy much more than the computational complexity thus time required by process. But as volume of data patients goes on increasing then it becomes necessary to think about processing along with accuracy. Here this paper, new algorithm proposed for texture based segmentation using statistical properties. that probability each intensity value calculated directly formed...

In this paper, we propose Speaker Identification using the frequency distribution of various transforms like DFT (Discrete Fourier Transform), DCT Cosine DST Sine Hartley, Walsh, Haar and Kekre transforms. The speech signal spoken by a particular speaker is converted into domain applying different transform techniques. in utilized to extract feature vectors training matching phases. results obtained all seven techniques have been analyzed compared. It can be seen that DFT, DCT, Hartley give...

The paper presents a modified approach of Principal Component Analysis (PCA) for an automatic classification image database. components are the distinctive or peculiar features image. PCA also holds information regarding structure data. can be applied to all training images different classes together forming universal subspace individual object . But if is independently on objects, main direction will them. Thus, they used construct classifier which uses them make decisions class. Also...

In this paper, we propose Speaker Identification using two transforms, namely Haar Transform and Kekre’s Transform. The speech signal spoken by a particular speaker is converted into spectrogram 25% 50% overlap between consecutive sample vectors. transforms are applied on the spectrogram. row mean of transformed matrix forms feature vector, which used in training as well matching phases. results both transform techniques have been compared. gives fairly good with maximum accuracy 69% for...

This paper proposes a novel polynomial transform to modify the original histogram of image adjust pixel density equally towards high intensity levels so that uniform distribution pixels can be obtained and enhanced. We have shown efficient use this modified for Content Based Image Retrieval. According CBIR system described in each is separated into R, G B plane calculated. partitioned two parts by calculating Center gravity using it 8 bins are formed on basis values. These holding count...