73 research outputs found

    Improved attention-based PCNN with GhostNet for epilepsy seizure detection using EEG and fMRI modalities: extractive pattern and histogram feature set

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    IntroductionDetecting epileptic seizures remains a major challenge in clinical neurology due to the complex, heterogeneous, and non-stationary characteristics of electroencephalogram (EEG) signals. Although recent machine learning (ML) and deep learning (DL) approaches have improved detection performance, most methods still struggle with limited interpretability, inadequate spatial–temporal modeling, and suboptimal generalization. To address these limitations, this study proposes an enhanced hybrid parallel convolutional-GhostNet framework (HPG-ESD) for robust seizure detection using multimodal EEG and functional Magnetic Resonance Imaging (fMRI) data.MethodsThe experimental data consist of pediatric scalp EEG recordings from 24 subjects in the CHB-MIT dataset (22-channel 10–20 system, 256 Hz sampling, continuous multi-hour recordings) and resting-state 3T fMRI scans from 52 participants in the UNAM TLE dataset (26 epilepsy patients and 26 healthy controls). EEG data underwent Gauss-based median filtering, while fMRI images were denoised using an adaptive weight-based Wiener filter. Spatial, temporal, and spectral EEG features were extracted alongside an enhanced common spatial pattern (E-CSP) representation, whereas fMRI features were obtained using deep 3D CNN embeddings combined with a smoothened pyramid histogram of oriented gradients (S-PHOG) descriptor. These multimodal features were fused within a soft voting hybrid parallel convolutional–GhostNet (S-HPCGN) model, integrating an improved attention based parallel convolutional network (IAPCNet) and GhostNet to capture complementary spatial–temporal patterns.ResultsThe proposed HPG-ESD framework achieved an accuracy of 0.941, precision of 0.939, and sensitivity of 0.944, outperforming conventional unimodal and state-of-the-art methods.DiscussionThese results demonstrate the potential of multi-modal learning and lightweight attention-enhanced architectures for reliable and clinically relevant seizure detection

    A System for Movement Detecting Congestion.

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    In this paper, we present a system for tracking and provide early information of hazardous locationsin huge gatherings. It is based on optic flow estimations and detects sequences of crowd motion that are characteristic for devastating congestions. For optic flow computation, Lucas- Kanade method is employed to determine the optical flow vectors for the gathered video. Segmentation of video sequences is done and optic flow is determined for respective segments. A threshold optic flow is chosen in such a way that the tracking of congested area in video is easilydoneby comparing it with respective segment’s determined optic flow values. Finally, we present the location of crowd congestion which helps in taking further protective measures to handle unusual events.  </jats:p

    Unveiling Domesticity: Everyday Life and Lived Experiences in Shakespeare's Select Comedies

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    Shakespeare’s plays have long captivated scholars and lay readers alike, inviting multiple readings and interpretations aimed at uncovering the layered, often hidden meanings embedded in his works. The profound worldly wisdom Shakespeare imparts and his keen observation of human nature stem, in part, from his deep acquaintance with the lives of both rural and urban communities. Born in Stratford-Upon-Avon, a small English town, Shakespeare’s formative years were shaped by the rhythms of provincial life. Later, his relocation to London and his professional successes in the city’s vibrant playhouses exposed him to the complexities of urban existence. These dual experiences—rural simplicity and urban sophistication—imbued his works with a rich tapestry of human experiences, reflected in his nuanced portrayal of everyday life. Shakespeare’s unparalleled ability to depict the domestic world of his time is especially evident in his comedies. These plays often serve as windows into the household dynamics, social customs, and intimate relationships of the early modern period. The domestic sphere, encompassing themes of marriage, family life, gender roles, and economic concerns, is intricately woven into the narratives, creating a mirror for the audiences of his day to reflect on their own lives. His comedies, in particular, lend themselves to a careful examination of how the ordinary yet essential aspects of domesticity intersect with broader social and cultural structures. This paper seeks to explore the ways in which Shakespeare’s own lived experiences—rooted in the everyday lives of villagers in Stratford-Upon-Avon and city dwellers in London—inform his artistic portrayal of domestic life. By undertaking a general survey of domestic life during the early modern period, this study contextualizes Shakespeare’s treatment of domesticity within the cultural and historical framework of his era. It further investigates how the themes of household affairs, interpersonal relationships, and societal expectations manifest in selected comedies, revealing Shakespeare’s acute sensitivity to the interplay between the personal and the social. Ultimately, this analysis aims to illuminate how Shakespeare’s comedies resonate with universal truths about human existence while capturing the specificities of domestic life in his time.&nbsp

    Training Manual on Theeranaipunya II Skill Enhancement and Capacity Development of Fisher Youth

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    Women continue to remain the real architects of a developed society even though many a times their services are unnoticed and under rewarded.The fisherwomen in Kerala assume significance due to their involvement in fish related activities leading to distribution, availability and value addition.The traditional fisherwomen play an pivotal role in the fisheries sector in terms of their involvement in fish related activities viz., fish vending, fish drying, prawn peeling, sorting, grading, fish packing, and net making. With the changing scenario and the increasing social welfare schemes from the government to revive this sector, the youth of this community has started participating in the socio economic activities of the society and therefore there is a need to reshape their own perception of how they view themselves.The main objective of this training is to screen out those barriers that stand in the way for their overall development.The training sessions will provide insight to gain new skills that will improve their functional efficiency and will help them to step up as women youth and take the lead to revive their community. The Central Marine Fisheries Research Institute, Kochi (CMFRI) is a reputed ICAR organization which deals with various issues pertaining to fisheries and fisher folk.CMFRI has wide experience in conducting customized training programme to the different stakeholder over the years in niche areas of fisheries research and development. TheSocio -Economic Evaluation and technology transfer (SEETT) Division is essentially involved in research on socioeconomics and in developing initiatives, programmes for ensuring the livelihoods of the fishers and sustainability of the fisheries resources and environment

    Stability of Domination in Graphs

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    The stability of dominating sets in Graphs is introduced and studied,in this paper. Here D is a dominating set of Graph G. In thispaper the vertices of D and vertices of VDV - D are called donorsand acceptors respectively. For a vertex u in D, let ψD(u)\psi_{D}(u) denotethe number N(u)(VD).Thedonorinstabilityorsimplydinstability\|N(u) \cap (V - D)\|. The donor instability or simply d-instability d^{D}_{inst}(e) ofanedgeeconnectingtwodonorverticesvanduis  of an edge e connecting two donor vertices v andu is \|\psi_{D}(u)-\psi_{D}(v)\|.ThedinstabilityofD,. The d-instability of D, \psi_{d}(D) is the sum ofd-instabilities of all edges connecting vertices in D. For a vertex unot in D, let ϕD(u)denotethenumber\phi_{D}(u) denote the number \|N(u)\cap D\|. The Acceptor Instabilityor simply a-instability  ainstD(e)a^{D}_{inst}(e)  of an edge e connecting twoacceptor vertices u and v is ϕD(u)ϕD(v)\|\phi_{D}(u)-\phi_{D}(v)\|. The a-instability of D,ϕa(D)\phi_{a}(D) is the sum of a-instabilities of all edges connecting vertices inVDV - D. The dominating set D is d-stable if ψd(D)=0\psi_{d}(D) = 0 and a-stableif ϕa(D)=0\phi_{a}(D) = 0. D is stable, if ψd(D)=0\psi_{d}(D) = 0 and ψa(D)=0\psi_{a}(D) = 0. Given anon negative integer #\alpha,Dis, D is \alpha-d-stable,if, if d^{D}_{inst}(e)\leq\alphaforanyedgeeconnectingtwodonorverticesandDis for any edgee connecting two donor vertices and D is \alpha-a-stable,if, if a^{D}_{inst}(e)\leq\alphaforanyedgeeconnectingtwoacceptorvertices.Herewestudyfor any edge e connecting two acceptor vertices. Here we study \alphastabilitynumberofgraphsfornonnegativeinteger-stability number of graphs for non negative integer \alpha$

    Empathy: Living in their shoes

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    Empathy is the awareness of the feelings and emotions of other people. It is a key element of Emotional Intelligence, the link between self and others, because it is how we as individuals understand what others are experiencing as if we were feeling it ourselves. Empathy is the power of entering into another’s personality and imaginatively experiencing his experiences. It is the awareness of others feelings, needs and concerns
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